Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:(object classification). Showing records 1 – 30 of 292 total matches.

[1] [2] [3] [4] [5] [6] [7] [8] [9] [10]

Search Limiters

Last 2 Years | English Only

Degrees

Levels

Languages

Country

▼ Search Limiters


University of Toronto

1. Oramasionwu, Paul. Investigation of Computer Vision Techniques for Object Classification on an Intelligent Wheelchair System for the Cognitively Impaired.

Degree: 2013, University of Toronto

The purpose of this research was to investigate object classification algorithms for the application of wheelchair interaction with the environment for the cognitively impaired wheelchair… (more)

Subjects/Keywords: Intelligent Wheelchair; Object Classification; 0541

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Oramasionwu, P. (2013). Investigation of Computer Vision Techniques for Object Classification on an Intelligent Wheelchair System for the Cognitively Impaired. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/43280

Chicago Manual of Style (16th Edition):

Oramasionwu, Paul. “Investigation of Computer Vision Techniques for Object Classification on an Intelligent Wheelchair System for the Cognitively Impaired.” 2013. Masters Thesis, University of Toronto. Accessed June 26, 2019. http://hdl.handle.net/1807/43280.

MLA Handbook (7th Edition):

Oramasionwu, Paul. “Investigation of Computer Vision Techniques for Object Classification on an Intelligent Wheelchair System for the Cognitively Impaired.” 2013. Web. 26 Jun 2019.

Vancouver:

Oramasionwu P. Investigation of Computer Vision Techniques for Object Classification on an Intelligent Wheelchair System for the Cognitively Impaired. [Internet] [Masters thesis]. University of Toronto; 2013. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/1807/43280.

Council of Science Editors:

Oramasionwu P. Investigation of Computer Vision Techniques for Object Classification on an Intelligent Wheelchair System for the Cognitively Impaired. [Masters Thesis]. University of Toronto; 2013. Available from: http://hdl.handle.net/1807/43280


University of Edinburgh

2. Marin Herrera, Mario A. Mapping Belize´s Coastal Mangrove Forests: experiments with conjunctive use of SPOT, L- and X-band SAR and SRTM data.

Degree: 2010, University of Edinburgh

 Four experimental classifications of coastal mangroves in Belize were developed using Definiens software using various combinations of SPOT multispectral data and ALOS L-band PALSAR data… (more)

Subjects/Keywords: remote sensing; Belize; object-based classification; mangrove

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Marin Herrera, M. A. (2010). Mapping Belize´s Coastal Mangrove Forests: experiments with conjunctive use of SPOT, L- and X-band SAR and SRTM data. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/3753

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Marin Herrera, Mario A. “Mapping Belize´s Coastal Mangrove Forests: experiments with conjunctive use of SPOT, L- and X-band SAR and SRTM data.” 2010. Thesis, University of Edinburgh. Accessed June 26, 2019. http://hdl.handle.net/1842/3753.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Marin Herrera, Mario A. “Mapping Belize´s Coastal Mangrove Forests: experiments with conjunctive use of SPOT, L- and X-band SAR and SRTM data.” 2010. Web. 26 Jun 2019.

Vancouver:

Marin Herrera MA. Mapping Belize´s Coastal Mangrove Forests: experiments with conjunctive use of SPOT, L- and X-band SAR and SRTM data. [Internet] [Thesis]. University of Edinburgh; 2010. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/1842/3753.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Marin Herrera MA. Mapping Belize´s Coastal Mangrove Forests: experiments with conjunctive use of SPOT, L- and X-band SAR and SRTM data. [Thesis]. University of Edinburgh; 2010. Available from: http://hdl.handle.net/1842/3753

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Southern California

3. Kim, Eunyoung. Scalable object classification using range images.

Degree: PhD, Computer Science, 2011, University of Southern California

Object classification using depth images has been actively studied in robotics and computer vision fields to autonomously recognize 3D objects in the scene even under… (more)

Subjects/Keywords: computer vision; object classification; range image

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kim, E. (2011). Scalable object classification using range images. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/215990/rec/5683

Chicago Manual of Style (16th Edition):

Kim, Eunyoung. “Scalable object classification using range images.” 2011. Doctoral Dissertation, University of Southern California. Accessed June 26, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/215990/rec/5683.

MLA Handbook (7th Edition):

Kim, Eunyoung. “Scalable object classification using range images.” 2011. Web. 26 Jun 2019.

Vancouver:

Kim E. Scalable object classification using range images. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 Jun 26]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/215990/rec/5683.

Council of Science Editors:

Kim E. Scalable object classification using range images. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/215990/rec/5683


Mississippi State University

4. Carney, Joelle. USE OF MULTI-SPECTRAL IMAGERY AND LIDAR DATA TO QUANTIFY COMPOSITIONAL AND STRUCTURAL CHARACTERISTICS OF VEGETATION IN RED-COCKADED WOODPECKER (PICOIDES BOREALIS) HABITAT IN NORTH CAROLINA.

Degree: MS, Forestry, 2009, Mississippi State University

 This study evaluated habitat parameters for the red-cockaded woodpecker (RCW; Picoides borealis) on three tracts in Hoke County, North Carolina. Multi-spectral imagery was used to… (more)

Subjects/Keywords: object oriented classification; tree finding model

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Carney, J. (2009). USE OF MULTI-SPECTRAL IMAGERY AND LIDAR DATA TO QUANTIFY COMPOSITIONAL AND STRUCTURAL CHARACTERISTICS OF VEGETATION IN RED-COCKADED WOODPECKER (PICOIDES BOREALIS) HABITAT IN NORTH CAROLINA. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-05042009-112050/ ;

Chicago Manual of Style (16th Edition):

Carney, Joelle. “USE OF MULTI-SPECTRAL IMAGERY AND LIDAR DATA TO QUANTIFY COMPOSITIONAL AND STRUCTURAL CHARACTERISTICS OF VEGETATION IN RED-COCKADED WOODPECKER (PICOIDES BOREALIS) HABITAT IN NORTH CAROLINA.” 2009. Masters Thesis, Mississippi State University. Accessed June 26, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-05042009-112050/ ;.

MLA Handbook (7th Edition):

Carney, Joelle. “USE OF MULTI-SPECTRAL IMAGERY AND LIDAR DATA TO QUANTIFY COMPOSITIONAL AND STRUCTURAL CHARACTERISTICS OF VEGETATION IN RED-COCKADED WOODPECKER (PICOIDES BOREALIS) HABITAT IN NORTH CAROLINA.” 2009. Web. 26 Jun 2019.

Vancouver:

Carney J. USE OF MULTI-SPECTRAL IMAGERY AND LIDAR DATA TO QUANTIFY COMPOSITIONAL AND STRUCTURAL CHARACTERISTICS OF VEGETATION IN RED-COCKADED WOODPECKER (PICOIDES BOREALIS) HABITAT IN NORTH CAROLINA. [Internet] [Masters thesis]. Mississippi State University; 2009. [cited 2019 Jun 26]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-05042009-112050/ ;.

Council of Science Editors:

Carney J. USE OF MULTI-SPECTRAL IMAGERY AND LIDAR DATA TO QUANTIFY COMPOSITIONAL AND STRUCTURAL CHARACTERISTICS OF VEGETATION IN RED-COCKADED WOODPECKER (PICOIDES BOREALIS) HABITAT IN NORTH CAROLINA. [Masters Thesis]. Mississippi State University; 2009. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-05042009-112050/ ;


Universiteit Utrecht

5. Beek, L.L.A.M. van. Object Classification through Probabilistic Common Sense Knowledge Reasoning.

Degree: 2013, Universiteit Utrecht

 This thesis presents a manner for object classification by the use of semantic knowledge and probabilistic reasoning with such knowledge. An ontology of object classes… (more)

Subjects/Keywords: object classification; ontology; markov logic; probabilistic reasoning; hierarchical object classification; semantic knowledge; description logic

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Beek, L. L. A. M. v. (2013). Object Classification through Probabilistic Common Sense Knowledge Reasoning. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/268192

Chicago Manual of Style (16th Edition):

Beek, L L A M van. “Object Classification through Probabilistic Common Sense Knowledge Reasoning.” 2013. Masters Thesis, Universiteit Utrecht. Accessed June 26, 2019. http://dspace.library.uu.nl:8080/handle/1874/268192.

MLA Handbook (7th Edition):

Beek, L L A M van. “Object Classification through Probabilistic Common Sense Knowledge Reasoning.” 2013. Web. 26 Jun 2019.

Vancouver:

Beek LLAMv. Object Classification through Probabilistic Common Sense Knowledge Reasoning. [Internet] [Masters thesis]. Universiteit Utrecht; 2013. [cited 2019 Jun 26]. Available from: http://dspace.library.uu.nl:8080/handle/1874/268192.

Council of Science Editors:

Beek LLAMv. Object Classification through Probabilistic Common Sense Knowledge Reasoning. [Masters Thesis]. Universiteit Utrecht; 2013. Available from: http://dspace.library.uu.nl:8080/handle/1874/268192


Texas A&M University

6. Vernon, Zachary Isaac. A comparison of automated land cover/use classification methods for a Texas bottomland hardwood system using lidar, spot-5, and ancillary data.

Degree: 2009, Texas A&M University

 Bottomland hardwood forests are highly productive ecosystems which perform many important ecological services. Unfortunately, many bottomland hardwood forests have been degraded or lost. Accurate land… (more)

Subjects/Keywords: Bottomland hardwood forests; object-based classification; rule-based classification; segmentation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vernon, Z. I. (2009). A comparison of automated land cover/use classification methods for a Texas bottomland hardwood system using lidar, spot-5, and ancillary data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2744

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vernon, Zachary Isaac. “A comparison of automated land cover/use classification methods for a Texas bottomland hardwood system using lidar, spot-5, and ancillary data.” 2009. Thesis, Texas A&M University. Accessed June 26, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2744.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vernon, Zachary Isaac. “A comparison of automated land cover/use classification methods for a Texas bottomland hardwood system using lidar, spot-5, and ancillary data.” 2009. Web. 26 Jun 2019.

Vancouver:

Vernon ZI. A comparison of automated land cover/use classification methods for a Texas bottomland hardwood system using lidar, spot-5, and ancillary data. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2744.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vernon ZI. A comparison of automated land cover/use classification methods for a Texas bottomland hardwood system using lidar, spot-5, and ancillary data. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2744

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

7. Palazzo, Simone. Hybrid human-machine vision systems for automated object segmentation and categorization.

Degree: 2017, Università degli Studi di Catania

 Emulating human perception is a foundational component in the research towards artificial intelligence (AI). Computer vision, in particular, is now one of the most active… (more)

Subjects/Keywords: Area 09 - Ingegneria industriale e dell'informazione; computer vision,interactive,object segmentation,object classification,eeg

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Palazzo, S. (2017). Hybrid human-machine vision systems for automated object segmentation and categorization. (Thesis). Università degli Studi di Catania. Retrieved from http://hdl.handle.net/10761/3985

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Palazzo, Simone. “Hybrid human-machine vision systems for automated object segmentation and categorization.” 2017. Thesis, Università degli Studi di Catania. Accessed June 26, 2019. http://hdl.handle.net/10761/3985.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Palazzo, Simone. “Hybrid human-machine vision systems for automated object segmentation and categorization.” 2017. Web. 26 Jun 2019.

Vancouver:

Palazzo S. Hybrid human-machine vision systems for automated object segmentation and categorization. [Internet] [Thesis]. Università degli Studi di Catania; 2017. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/10761/3985.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Palazzo S. Hybrid human-machine vision systems for automated object segmentation and categorization. [Thesis]. Università degli Studi di Catania; 2017. Available from: http://hdl.handle.net/10761/3985

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidade do Rio Grande do Sul

8. Colpo, Miriam Pizzatto. OPIS : um método para identificação e busca de páginas-objeto.

Degree: 2014, Universidade do Rio Grande do Sul

Páginas-objeto são páginas que representam exatamente um objeto inerente do mundo real na web, considerando um domínio específico, e a busca por essas páginas é… (more)

Subjects/Keywords: Banco : Dados; Object page; Recuperacao : Informacao; Object search; Relevance feedback; Web page classification

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Colpo, M. P. (2014). OPIS : um método para identificação e busca de páginas-objeto. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/103907

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Colpo, Miriam Pizzatto. “OPIS : um método para identificação e busca de páginas-objeto.” 2014. Thesis, Universidade do Rio Grande do Sul. Accessed June 26, 2019. http://hdl.handle.net/10183/103907.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Colpo, Miriam Pizzatto. “OPIS : um método para identificação e busca de páginas-objeto.” 2014. Web. 26 Jun 2019.

Vancouver:

Colpo MP. OPIS : um método para identificação e busca de páginas-objeto. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2014. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/10183/103907.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Colpo MP. OPIS : um método para identificação e busca de páginas-objeto. [Thesis]. Universidade do Rio Grande do Sul; 2014. Available from: http://hdl.handle.net/10183/103907

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

9. Xiao, Wen. Détection de changements à partir de nuages de points de cartographie mobile : Change detection from mobile laser scanning point clouds.

Degree: Docteur es, Sciences et Technologies de l'Information Géographique, 2015, Université Paris-Est

 Les systèmes de cartographie mobile sont de plus en plus utilisés pour la cartographie des scènes urbaines. La technologie de scan laser mobile (où le… (more)

Subjects/Keywords: Détection de changements; Classification; Les nuages de points; Lidar; Mobile laser scanning; Lidar; Change detection; Moving object detection; Object tracking; Classification

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Xiao, W. (2015). Détection de changements à partir de nuages de points de cartographie mobile : Change detection from mobile laser scanning point clouds. (Doctoral Dissertation). Université Paris-Est. Retrieved from http://www.theses.fr/2015PESC1125

Chicago Manual of Style (16th Edition):

Xiao, Wen. “Détection de changements à partir de nuages de points de cartographie mobile : Change detection from mobile laser scanning point clouds.” 2015. Doctoral Dissertation, Université Paris-Est. Accessed June 26, 2019. http://www.theses.fr/2015PESC1125.

MLA Handbook (7th Edition):

Xiao, Wen. “Détection de changements à partir de nuages de points de cartographie mobile : Change detection from mobile laser scanning point clouds.” 2015. Web. 26 Jun 2019.

Vancouver:

Xiao W. Détection de changements à partir de nuages de points de cartographie mobile : Change detection from mobile laser scanning point clouds. [Internet] [Doctoral dissertation]. Université Paris-Est; 2015. [cited 2019 Jun 26]. Available from: http://www.theses.fr/2015PESC1125.

Council of Science Editors:

Xiao W. Détection de changements à partir de nuages de points de cartographie mobile : Change detection from mobile laser scanning point clouds. [Doctoral Dissertation]. Université Paris-Est; 2015. Available from: http://www.theses.fr/2015PESC1125

10. Rapinel, Sébastien. Contribution de la télédétection à l’évaluation des fonctions des zones humides : de l’observation à la modélisation prospective : Contribution of remote sensing to functional assessment of wetlands : from observation to prospective modelling.

Degree: Docteur es, Géographie, 2012, Rennes 2

Les zones humides, à l’interface entre terre et eau, sont des milieux riches et diversifiés, aux fonctions et valeurs multiples aujourd’hui largement reconnues. Face à… (more)

Subjects/Keywords: Évaluation fonctionnelle; LiDAR; Classification orientée-objet; Functional evaluation;

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rapinel, S. (2012). Contribution de la télédétection à l’évaluation des fonctions des zones humides : de l’observation à la modélisation prospective : Contribution of remote sensing to functional assessment of wetlands : from observation to prospective modelling. (Doctoral Dissertation). Rennes 2. Retrieved from http://www.theses.fr/2012REN20029

Chicago Manual of Style (16th Edition):

Rapinel, Sébastien. “Contribution de la télédétection à l’évaluation des fonctions des zones humides : de l’observation à la modélisation prospective : Contribution of remote sensing to functional assessment of wetlands : from observation to prospective modelling.” 2012. Doctoral Dissertation, Rennes 2. Accessed June 26, 2019. http://www.theses.fr/2012REN20029.

MLA Handbook (7th Edition):

Rapinel, Sébastien. “Contribution de la télédétection à l’évaluation des fonctions des zones humides : de l’observation à la modélisation prospective : Contribution of remote sensing to functional assessment of wetlands : from observation to prospective modelling.” 2012. Web. 26 Jun 2019.

Vancouver:

Rapinel S. Contribution de la télédétection à l’évaluation des fonctions des zones humides : de l’observation à la modélisation prospective : Contribution of remote sensing to functional assessment of wetlands : from observation to prospective modelling. [Internet] [Doctoral dissertation]. Rennes 2; 2012. [cited 2019 Jun 26]. Available from: http://www.theses.fr/2012REN20029.

Council of Science Editors:

Rapinel S. Contribution de la télédétection à l’évaluation des fonctions des zones humides : de l’observation à la modélisation prospective : Contribution of remote sensing to functional assessment of wetlands : from observation to prospective modelling. [Doctoral Dissertation]. Rennes 2; 2012. Available from: http://www.theses.fr/2012REN20029


University of Edinburgh

11. Reyes Firpo, Patricia. Object-based classification algorithms for mapping.

Degree: 2008, University of Edinburgh

 An adequate maintenance and protection of urban green spaces requires update and accurate information of these features. Remote sensing techniques provide an important source of… (more)

Subjects/Keywords: object-oriented classification; eCognition; urban green spaces; Kuala Lumpur; GIS

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Reyes Firpo, P. (2008). Object-based classification algorithms for mapping. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/2473

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Reyes Firpo, Patricia. “Object-based classification algorithms for mapping.” 2008. Thesis, University of Edinburgh. Accessed June 26, 2019. http://hdl.handle.net/1842/2473.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Reyes Firpo, Patricia. “Object-based classification algorithms for mapping.” 2008. Web. 26 Jun 2019.

Vancouver:

Reyes Firpo P. Object-based classification algorithms for mapping. [Internet] [Thesis]. University of Edinburgh; 2008. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/1842/2473.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Reyes Firpo P. Object-based classification algorithms for mapping. [Thesis]. University of Edinburgh; 2008. Available from: http://hdl.handle.net/1842/2473

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Edinburgh

12. Chandra, Anuradha. Determine accurate spatial resolution necessary to classify upland heather moors using high resoluion aerial imagery.

Degree: 2009, University of Edinburgh

 Upland moors are dominated by Heather (Calluna Valguris), the most characteristic vegetation type in Scotland. These moorlands have significant economic and conservative value. However, due… (more)

Subjects/Keywords: GIS; Remote Sensing; Object based classification; Upland Moor

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chandra, A. (2009). Determine accurate spatial resolution necessary to classify upland heather moors using high resoluion aerial imagery. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/3088

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chandra, Anuradha. “Determine accurate spatial resolution necessary to classify upland heather moors using high resoluion aerial imagery.” 2009. Thesis, University of Edinburgh. Accessed June 26, 2019. http://hdl.handle.net/1842/3088.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chandra, Anuradha. “Determine accurate spatial resolution necessary to classify upland heather moors using high resoluion aerial imagery.” 2009. Web. 26 Jun 2019.

Vancouver:

Chandra A. Determine accurate spatial resolution necessary to classify upland heather moors using high resoluion aerial imagery. [Internet] [Thesis]. University of Edinburgh; 2009. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/1842/3088.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chandra A. Determine accurate spatial resolution necessary to classify upland heather moors using high resoluion aerial imagery. [Thesis]. University of Edinburgh; 2009. Available from: http://hdl.handle.net/1842/3088

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Edinburgh

13. Bhattacharjee, Urmi. Object Oriented Image classification of Marine habitat Using QuickBird multispectral data.

Degree: 2009, University of Edinburgh

 Remote sensing plays an important role in monitoring the shallow marine habitat of both tropical and temperate environment by spectral response. Classification of marine habitat… (more)

Subjects/Keywords: Object based classification; marine habitat; biotope; Sound of Harris

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bhattacharjee, U. (2009). Object Oriented Image classification of Marine habitat Using QuickBird multispectral data. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/3086

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bhattacharjee, Urmi. “Object Oriented Image classification of Marine habitat Using QuickBird multispectral data.” 2009. Thesis, University of Edinburgh. Accessed June 26, 2019. http://hdl.handle.net/1842/3086.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bhattacharjee, Urmi. “Object Oriented Image classification of Marine habitat Using QuickBird multispectral data.” 2009. Web. 26 Jun 2019.

Vancouver:

Bhattacharjee U. Object Oriented Image classification of Marine habitat Using QuickBird multispectral data. [Internet] [Thesis]. University of Edinburgh; 2009. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/1842/3086.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bhattacharjee U. Object Oriented Image classification of Marine habitat Using QuickBird multispectral data. [Thesis]. University of Edinburgh; 2009. Available from: http://hdl.handle.net/1842/3086

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Michigan Technological University

14. Keyport, Ren N. A COMPARISON OF PIXEL-BASED VERSUS OBJECT ORIENTED ANALYSIS OF LANDSLIDES USING HISTORICAL REMOTE SENSING DATA.

Degree: MS, Department of Geological and Mining Engineering and Sciences, 2013, Michigan Technological University

  With recent advances in remote sensing processing technology, it has become more feasible to begin analysis of the enormous historic archive of remotely sensed… (more)

Subjects/Keywords: Unsupervised Classification; Object Oriented Analysis; Segment Optimization; Landslide mapping; Geology

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Keyport, R. N. (2013). A COMPARISON OF PIXEL-BASED VERSUS OBJECT ORIENTED ANALYSIS OF LANDSLIDES USING HISTORICAL REMOTE SENSING DATA. (Masters Thesis). Michigan Technological University. Retrieved from http://digitalcommons.mtu.edu/etds/704

Chicago Manual of Style (16th Edition):

Keyport, Ren N. “A COMPARISON OF PIXEL-BASED VERSUS OBJECT ORIENTED ANALYSIS OF LANDSLIDES USING HISTORICAL REMOTE SENSING DATA.” 2013. Masters Thesis, Michigan Technological University. Accessed June 26, 2019. http://digitalcommons.mtu.edu/etds/704.

MLA Handbook (7th Edition):

Keyport, Ren N. “A COMPARISON OF PIXEL-BASED VERSUS OBJECT ORIENTED ANALYSIS OF LANDSLIDES USING HISTORICAL REMOTE SENSING DATA.” 2013. Web. 26 Jun 2019.

Vancouver:

Keyport RN. A COMPARISON OF PIXEL-BASED VERSUS OBJECT ORIENTED ANALYSIS OF LANDSLIDES USING HISTORICAL REMOTE SENSING DATA. [Internet] [Masters thesis]. Michigan Technological University; 2013. [cited 2019 Jun 26]. Available from: http://digitalcommons.mtu.edu/etds/704.

Council of Science Editors:

Keyport RN. A COMPARISON OF PIXEL-BASED VERSUS OBJECT ORIENTED ANALYSIS OF LANDSLIDES USING HISTORICAL REMOTE SENSING DATA. [Masters Thesis]. Michigan Technological University; 2013. Available from: http://digitalcommons.mtu.edu/etds/704

15. Tan, Yasuhiro. A Study on the Recognition of Seabed Environments Employing Sonar Images.

Degree: 博士(工学), 2017, Kyushu Institute of Technology / 九州工業大学

 The ocean accounts for approximately 70% of the area on the earth, and the water as well as coastal areas sustain many species including humans.… (more)

Subjects/Keywords: Seabed recognition; Under water; Sonar image; Object detection; Classification

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tan, Y. (2017). A Study on the Recognition of Seabed Environments Employing Sonar Images. (Thesis). Kyushu Institute of Technology / 九州工業大学. Retrieved from http://hdl.handle.net/10228/5285

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tan, Yasuhiro. “A Study on the Recognition of Seabed Environments Employing Sonar Images.” 2017. Thesis, Kyushu Institute of Technology / 九州工業大学. Accessed June 26, 2019. http://hdl.handle.net/10228/5285.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tan, Yasuhiro. “A Study on the Recognition of Seabed Environments Employing Sonar Images.” 2017. Web. 26 Jun 2019.

Vancouver:

Tan Y. A Study on the Recognition of Seabed Environments Employing Sonar Images. [Internet] [Thesis]. Kyushu Institute of Technology / 九州工業大学; 2017. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/10228/5285.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tan Y. A Study on the Recognition of Seabed Environments Employing Sonar Images. [Thesis]. Kyushu Institute of Technology / 九州工業大学; 2017. Available from: http://hdl.handle.net/10228/5285

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Sydney

16. Patten, Timothy. Active Object Classification from 3D Range Data with Mobile Robots .

Degree: 2016, University of Sydney

 This thesis addresses the problem of how to improve the acquisition of 3D range data with a mobile robot for the task of object classification.… (more)

Subjects/Keywords: Robotics; outdoor robotics; active perception; object classification; 3D perception; planning

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Patten, T. (2016). Active Object Classification from 3D Range Data with Mobile Robots . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/16209

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Patten, Timothy. “Active Object Classification from 3D Range Data with Mobile Robots .” 2016. Thesis, University of Sydney. Accessed June 26, 2019. http://hdl.handle.net/2123/16209.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Patten, Timothy. “Active Object Classification from 3D Range Data with Mobile Robots .” 2016. Web. 26 Jun 2019.

Vancouver:

Patten T. Active Object Classification from 3D Range Data with Mobile Robots . [Internet] [Thesis]. University of Sydney; 2016. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/2123/16209.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Patten T. Active Object Classification from 3D Range Data with Mobile Robots . [Thesis]. University of Sydney; 2016. Available from: http://hdl.handle.net/2123/16209

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Sydney

17. Quadros, Alistair James. Representing 3D shape in sparse range images for urban object classification .

Degree: 2013, University of Sydney

 This thesis develops techniques for interpreting 3D range images acquired in outdoor environments at a low resolution. It focuses on the task of robustly capturing… (more)

Subjects/Keywords: Lidar; 3D; Features; Robotics; Keypoints; Vision; Object classification; Velodyne

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Quadros, A. J. (2013). Representing 3D shape in sparse range images for urban object classification . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/10515

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Quadros, Alistair James. “Representing 3D shape in sparse range images for urban object classification .” 2013. Thesis, University of Sydney. Accessed June 26, 2019. http://hdl.handle.net/2123/10515.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Quadros, Alistair James. “Representing 3D shape in sparse range images for urban object classification .” 2013. Web. 26 Jun 2019.

Vancouver:

Quadros AJ. Representing 3D shape in sparse range images for urban object classification . [Internet] [Thesis]. University of Sydney; 2013. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/2123/10515.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Quadros AJ. Representing 3D shape in sparse range images for urban object classification . [Thesis]. University of Sydney; 2013. Available from: http://hdl.handle.net/2123/10515

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brunel University

18. Kounalakis, Tsampikos. Depth-adaptive methodologies for 3D image caregorization.

Degree: PhD, 2015, Brunel University

 Image classification is an active topic of computer vision research. This topic deals with the learning of patterns in order to allow efficient classification of… (more)

Subjects/Keywords: 006.3; 3D imaging; Image classification; Object recognition; Image representation; Deep learning

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kounalakis, T. (2015). Depth-adaptive methodologies for 3D image caregorization. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/11531 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.669124

Chicago Manual of Style (16th Edition):

Kounalakis, Tsampikos. “Depth-adaptive methodologies for 3D image caregorization.” 2015. Doctoral Dissertation, Brunel University. Accessed June 26, 2019. http://bura.brunel.ac.uk/handle/2438/11531 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.669124.

MLA Handbook (7th Edition):

Kounalakis, Tsampikos. “Depth-adaptive methodologies for 3D image caregorization.” 2015. Web. 26 Jun 2019.

Vancouver:

Kounalakis T. Depth-adaptive methodologies for 3D image caregorization. [Internet] [Doctoral dissertation]. Brunel University; 2015. [cited 2019 Jun 26]. Available from: http://bura.brunel.ac.uk/handle/2438/11531 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.669124.

Council of Science Editors:

Kounalakis T. Depth-adaptive methodologies for 3D image caregorization. [Doctoral Dissertation]. Brunel University; 2015. Available from: http://bura.brunel.ac.uk/handle/2438/11531 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.669124


Wayne State University

19. Mahnaz, Faria. Effective Auto Encoder For Unsupervised Sparse Representation.

Degree: MS, Computer Science, 2015, Wayne State University

  High dimensionality and the sheer size of unlabeled data available today demand new development in unsupervised learning of sparse representation. Despite of recent advances… (more)

Subjects/Keywords: Machine Learning; Object classification; Optimization; Representation learning; Computer Sciences

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mahnaz, F. (2015). Effective Auto Encoder For Unsupervised Sparse Representation. (Masters Thesis). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_theses/427

Chicago Manual of Style (16th Edition):

Mahnaz, Faria. “Effective Auto Encoder For Unsupervised Sparse Representation.” 2015. Masters Thesis, Wayne State University. Accessed June 26, 2019. https://digitalcommons.wayne.edu/oa_theses/427.

MLA Handbook (7th Edition):

Mahnaz, Faria. “Effective Auto Encoder For Unsupervised Sparse Representation.” 2015. Web. 26 Jun 2019.

Vancouver:

Mahnaz F. Effective Auto Encoder For Unsupervised Sparse Representation. [Internet] [Masters thesis]. Wayne State University; 2015. [cited 2019 Jun 26]. Available from: https://digitalcommons.wayne.edu/oa_theses/427.

Council of Science Editors:

Mahnaz F. Effective Auto Encoder For Unsupervised Sparse Representation. [Masters Thesis]. Wayne State University; 2015. Available from: https://digitalcommons.wayne.edu/oa_theses/427

20. Chavez, Aaron J. Image classification with dense SIFT sampling: an exploration of optimal parameters.

Degree: PhD, Department of Computer Science, 2012, Kansas State University

 In this paper we evaluate a general form of image classification algorithm based on dense SIFT sampling. This algorithm is present in some form in… (more)

Subjects/Keywords: Image classification; SIFT; PASCAL Visual Object Classes Challenge; Computer Science (0984)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chavez, A. J. (2012). Image classification with dense SIFT sampling: an exploration of optimal parameters. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/13735

Chicago Manual of Style (16th Edition):

Chavez, Aaron J. “Image classification with dense SIFT sampling: an exploration of optimal parameters.” 2012. Doctoral Dissertation, Kansas State University. Accessed June 26, 2019. http://hdl.handle.net/2097/13735.

MLA Handbook (7th Edition):

Chavez, Aaron J. “Image classification with dense SIFT sampling: an exploration of optimal parameters.” 2012. Web. 26 Jun 2019.

Vancouver:

Chavez AJ. Image classification with dense SIFT sampling: an exploration of optimal parameters. [Internet] [Doctoral dissertation]. Kansas State University; 2012. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/2097/13735.

Council of Science Editors:

Chavez AJ. Image classification with dense SIFT sampling: an exploration of optimal parameters. [Doctoral Dissertation]. Kansas State University; 2012. Available from: http://hdl.handle.net/2097/13735


Texas State University – San Marcos

21. McDaid, Guinevere. Improving Urban Vegetation Classification Accuracy With Multispectral Imagery and Lidar.

Degree: MS, Geography, 2013, Texas State University – San Marcos

 Urban areas are comprised of fine-scale heterogeneous land-cover classes and detailed land cover classifications often require multiple techniques and classification methods to produce an accurate… (more)

Subjects/Keywords: Urban vegetation; Multispectral imagery; Lidar; Classification accuracy; Object oriented

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

McDaid, G. (2013). Improving Urban Vegetation Classification Accuracy With Multispectral Imagery and Lidar. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/5468

Chicago Manual of Style (16th Edition):

McDaid, Guinevere. “Improving Urban Vegetation Classification Accuracy With Multispectral Imagery and Lidar.” 2013. Masters Thesis, Texas State University – San Marcos. Accessed June 26, 2019. https://digital.library.txstate.edu/handle/10877/5468.

MLA Handbook (7th Edition):

McDaid, Guinevere. “Improving Urban Vegetation Classification Accuracy With Multispectral Imagery and Lidar.” 2013. Web. 26 Jun 2019.

Vancouver:

McDaid G. Improving Urban Vegetation Classification Accuracy With Multispectral Imagery and Lidar. [Internet] [Masters thesis]. Texas State University – San Marcos; 2013. [cited 2019 Jun 26]. Available from: https://digital.library.txstate.edu/handle/10877/5468.

Council of Science Editors:

McDaid G. Improving Urban Vegetation Classification Accuracy With Multispectral Imagery and Lidar. [Masters Thesis]. Texas State University – San Marcos; 2013. Available from: https://digital.library.txstate.edu/handle/10877/5468


University of Texas – Austin

22. Ing, Almon David. The leaf identification problem : natural scene statistics and human performance.

Degree: Psychology, 2010, University of Texas – Austin

 For animals with advanced nervous systems, survival and reproduction can depend upon accurate perception of the environment. To understand how a perceptual system should solve… (more)

Subjects/Keywords: Vision; Optimal classification; Modular visual system; Perceptual system design; Object identification

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ing, A. D. (2010). The leaf identification problem : natural scene statistics and human performance. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-05-784

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ing, Almon David. “The leaf identification problem : natural scene statistics and human performance.” 2010. Thesis, University of Texas – Austin. Accessed June 26, 2019. http://hdl.handle.net/2152/ETD-UT-2010-05-784.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ing, Almon David. “The leaf identification problem : natural scene statistics and human performance.” 2010. Web. 26 Jun 2019.

Vancouver:

Ing AD. The leaf identification problem : natural scene statistics and human performance. [Internet] [Thesis]. University of Texas – Austin; 2010. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-05-784.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ing AD. The leaf identification problem : natural scene statistics and human performance. [Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-05-784

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Waikato

23. Pham, Thi Hong Lien. Mapping vegetation with remote sensing and GIS data using object-based analysis and machine learning algorithms .

Degree: 2018, University of Waikato

 Remote sensing technology is an efficient tool for various practical applications of environmental resources management. Advances in this technology include the diverse range of high… (more)

Subjects/Keywords: object-based classification; dimensionality reduction; biomass change; mangrove; LiDAR; machine learning

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pham, T. H. L. (2018). Mapping vegetation with remote sensing and GIS data using object-based analysis and machine learning algorithms . (Doctoral Dissertation). University of Waikato. Retrieved from http://hdl.handle.net/10289/11758

Chicago Manual of Style (16th Edition):

Pham, Thi Hong Lien. “Mapping vegetation with remote sensing and GIS data using object-based analysis and machine learning algorithms .” 2018. Doctoral Dissertation, University of Waikato. Accessed June 26, 2019. http://hdl.handle.net/10289/11758.

MLA Handbook (7th Edition):

Pham, Thi Hong Lien. “Mapping vegetation with remote sensing and GIS data using object-based analysis and machine learning algorithms .” 2018. Web. 26 Jun 2019.

Vancouver:

Pham THL. Mapping vegetation with remote sensing and GIS data using object-based analysis and machine learning algorithms . [Internet] [Doctoral dissertation]. University of Waikato; 2018. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/10289/11758.

Council of Science Editors:

Pham THL. Mapping vegetation with remote sensing and GIS data using object-based analysis and machine learning algorithms . [Doctoral Dissertation]. University of Waikato; 2018. Available from: http://hdl.handle.net/10289/11758


North Carolina State University

24. Swain, Jeff B. The effect of spatial resolution on an object-oriented classification of downed timber.

Degree: MS, Forestry, 2007, North Carolina State University

Subjects/Keywords: Feature Analyst; Object-oriented Classification

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Swain, J. B. (2007). The effect of spatial resolution on an object-oriented classification of downed timber. (Thesis). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/1607

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Swain, Jeff B. “The effect of spatial resolution on an object-oriented classification of downed timber.” 2007. Thesis, North Carolina State University. Accessed June 26, 2019. http://www.lib.ncsu.edu/resolver/1840.16/1607.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Swain, Jeff B. “The effect of spatial resolution on an object-oriented classification of downed timber.” 2007. Web. 26 Jun 2019.

Vancouver:

Swain JB. The effect of spatial resolution on an object-oriented classification of downed timber. [Internet] [Thesis]. North Carolina State University; 2007. [cited 2019 Jun 26]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/1607.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Swain JB. The effect of spatial resolution on an object-oriented classification of downed timber. [Thesis]. North Carolina State University; 2007. Available from: http://www.lib.ncsu.edu/resolver/1840.16/1607

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


North Carolina State University

25. Aouada, Djamila. Geometric, Statistical, and Topological Modeling of Intrinsic Data Manifolds: Application to 3D Shapes.

Degree: PhD, Electrical Engineering, 2009, North Carolina State University

 The increasing size and complexity of data often invokes the extraction of information from their reduced representations while preserving their inherent structure. In this thesis,… (more)

Subjects/Keywords: Manifold theory; 3D shape comparison; Object classification; Differential geometry

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Aouada, D. (2009). Geometric, Statistical, and Topological Modeling of Intrinsic Data Manifolds: Application to 3D Shapes. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/4492

Chicago Manual of Style (16th Edition):

Aouada, Djamila. “Geometric, Statistical, and Topological Modeling of Intrinsic Data Manifolds: Application to 3D Shapes.” 2009. Doctoral Dissertation, North Carolina State University. Accessed June 26, 2019. http://www.lib.ncsu.edu/resolver/1840.16/4492.

MLA Handbook (7th Edition):

Aouada, Djamila. “Geometric, Statistical, and Topological Modeling of Intrinsic Data Manifolds: Application to 3D Shapes.” 2009. Web. 26 Jun 2019.

Vancouver:

Aouada D. Geometric, Statistical, and Topological Modeling of Intrinsic Data Manifolds: Application to 3D Shapes. [Internet] [Doctoral dissertation]. North Carolina State University; 2009. [cited 2019 Jun 26]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4492.

Council of Science Editors:

Aouada D. Geometric, Statistical, and Topological Modeling of Intrinsic Data Manifolds: Application to 3D Shapes. [Doctoral Dissertation]. North Carolina State University; 2009. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4492


University of Rochester

26. Chen, Quanjing. The representation of tool knowledge in the human brain.

Degree: PhD, 2018, University of Rochester

 On a daily basis we are constantly identifying, grasping and manipulating objects in our environment. The ability to recognize and use tools according to their… (more)

Subjects/Keywords: Conceptual representation; fMRI; Multivariate pattern classification; Object-directed actions; Tool use

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chen, Q. (2018). The representation of tool knowledge in the human brain. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/34251

Chicago Manual of Style (16th Edition):

Chen, Quanjing. “The representation of tool knowledge in the human brain.” 2018. Doctoral Dissertation, University of Rochester. Accessed June 26, 2019. http://hdl.handle.net/1802/34251.

MLA Handbook (7th Edition):

Chen, Quanjing. “The representation of tool knowledge in the human brain.” 2018. Web. 26 Jun 2019.

Vancouver:

Chen Q. The representation of tool knowledge in the human brain. [Internet] [Doctoral dissertation]. University of Rochester; 2018. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/1802/34251.

Council of Science Editors:

Chen Q. The representation of tool knowledge in the human brain. [Doctoral Dissertation]. University of Rochester; 2018. Available from: http://hdl.handle.net/1802/34251


University of California – San Francisco

27. Barker, Alison Joyce. Object size classification and sensorimotor decision making in the larval zebrafish.

Degree: Neuroscience, 2015, University of California – San Francisco

 An organism’s survival depends on its success in evading threats and acquiring resources. These basic needs require that sensory information be processed to maximize behavioral… (more)

Subjects/Keywords: Neurosciences; object size classification; optic tectum; visual neuroscience; zebrafish

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Barker, A. J. (2015). Object size classification and sensorimotor decision making in the larval zebrafish. (Thesis). University of California – San Francisco. Retrieved from http://www.escholarship.org/uc/item/7h41t528

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Barker, Alison Joyce. “Object size classification and sensorimotor decision making in the larval zebrafish.” 2015. Thesis, University of California – San Francisco. Accessed June 26, 2019. http://www.escholarship.org/uc/item/7h41t528.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Barker, Alison Joyce. “Object size classification and sensorimotor decision making in the larval zebrafish.” 2015. Web. 26 Jun 2019.

Vancouver:

Barker AJ. Object size classification and sensorimotor decision making in the larval zebrafish. [Internet] [Thesis]. University of California – San Francisco; 2015. [cited 2019 Jun 26]. Available from: http://www.escholarship.org/uc/item/7h41t528.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Barker AJ. Object size classification and sensorimotor decision making in the larval zebrafish. [Thesis]. University of California – San Francisco; 2015. Available from: http://www.escholarship.org/uc/item/7h41t528

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidade Nova

28. Diyan, Mohammad Abdullah Abu. Multi-scale vegetation classification using earth observation data of the Sundarban mangrove forest, Bangladesh.

Degree: 2011, Universidade Nova

Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies.

This study investigates the potential of using… (more)

Subjects/Keywords: Landsat TM; NDVI; Object-Based classification; Pixel-Based classification; Quickbird; Scale; Sundarban reserved forest; Thematic details; Vegetation classification

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Diyan, M. A. A. (2011). Multi-scale vegetation classification using earth observation data of the Sundarban mangrove forest, Bangladesh. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/5624

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Diyan, Mohammad Abdullah Abu. “Multi-scale vegetation classification using earth observation data of the Sundarban mangrove forest, Bangladesh.” 2011. Thesis, Universidade Nova. Accessed June 26, 2019. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/5624.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Diyan, Mohammad Abdullah Abu. “Multi-scale vegetation classification using earth observation data of the Sundarban mangrove forest, Bangladesh.” 2011. Web. 26 Jun 2019.

Vancouver:

Diyan MAA. Multi-scale vegetation classification using earth observation data of the Sundarban mangrove forest, Bangladesh. [Internet] [Thesis]. Universidade Nova; 2011. [cited 2019 Jun 26]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/5624.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Diyan MAA. Multi-scale vegetation classification using earth observation data of the Sundarban mangrove forest, Bangladesh. [Thesis]. Universidade Nova; 2011. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/5624

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

29. Wang, Gang. Using the Internet for object image retrieval and object image classification.

Degree: MS, 1200, 2010, University of Illinois – Urbana-Champaign

 The Internet has become the largest repository for numerous resources, a big portion of which are images and related multimedia content such as text and… (more)

Subjects/Keywords: Internet; Object image retrieval; Object image classification

…FEATURES FOR OBJECT IMAGE CLASSIFICATION In this chapter, we introduce an approach to build text… …object image classification. The text features are expected to capture the semantic meaning of… …the image model with Flickr if there are no clean Caltech images for the queried object… …the same type of text features are applied to predict the object labels. We can also train… …do the final classification. 3.3 . . . . . . . . . . . . 31 The left column shows the… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, G. (2010). Using the Internet for object image retrieval and object image classification. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/14623

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Gang. “Using the Internet for object image retrieval and object image classification.” 2010. Thesis, University of Illinois – Urbana-Champaign. Accessed June 26, 2019. http://hdl.handle.net/2142/14623.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Gang. “Using the Internet for object image retrieval and object image classification.” 2010. Web. 26 Jun 2019.

Vancouver:

Wang G. Using the Internet for object image retrieval and object image classification. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/2142/14623.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang G. Using the Internet for object image retrieval and object image classification. [Thesis]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/14623

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Université de Grenoble

30. Harzallah, Hedi. Contribution à la détection et à la reconnaissance d'objets dans les images : Contribution to detection and recognition of objects in images.

Degree: Docteur es, Mathématiques, 2011, Université de Grenoble

Cette thèse s'intéresse au problème de la reconnaissance d'objets dans les images vidéo et plus particulièrement à celui de leur localisation. Elle a été conduite… (more)

Subjects/Keywords: Localisation d'objet; Classification d'images; Reconnaissance; Apprentissage machine; Vision par ordinateur; Object localisation; Object detection; Image classification; Machine learning; Recognition; Computer vision; 510

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Harzallah, H. (2011). Contribution à la détection et à la reconnaissance d'objets dans les images : Contribution to detection and recognition of objects in images. (Doctoral Dissertation). Université de Grenoble. Retrieved from http://www.theses.fr/2011GRENM016

Chicago Manual of Style (16th Edition):

Harzallah, Hedi. “Contribution à la détection et à la reconnaissance d'objets dans les images : Contribution to detection and recognition of objects in images.” 2011. Doctoral Dissertation, Université de Grenoble. Accessed June 26, 2019. http://www.theses.fr/2011GRENM016.

MLA Handbook (7th Edition):

Harzallah, Hedi. “Contribution à la détection et à la reconnaissance d'objets dans les images : Contribution to detection and recognition of objects in images.” 2011. Web. 26 Jun 2019.

Vancouver:

Harzallah H. Contribution à la détection et à la reconnaissance d'objets dans les images : Contribution to detection and recognition of objects in images. [Internet] [Doctoral dissertation]. Université de Grenoble; 2011. [cited 2019 Jun 26]. Available from: http://www.theses.fr/2011GRENM016.

Council of Science Editors:

Harzallah H. Contribution à la détection et à la reconnaissance d'objets dans les images : Contribution to detection and recognition of objects in images. [Doctoral Dissertation]. Université de Grenoble; 2011. Available from: http://www.theses.fr/2011GRENM016

[1] [2] [3] [4] [5] [6] [7] [8] [9] [10]

.