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You searched for subject:(aerial image). Showing records 1 – 30 of 109 total matches.

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University of New South Wales

1. Liu, Li. Road Extraction from Airborne Lidar Data and Integrated Remote Sensing Data.

Degree: Surveying & Spatial Information Systems, 2015, University of New South Wales

 To extract different types of roads such as arterial roads and local roads and to update the existing road database, a voxel-based skewness and kurtosis… (more)

Subjects/Keywords: Aerial image; Airborne lidar; Road

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APA (6th Edition):

Liu, L. (2015). Road Extraction from Airborne Lidar Data and Integrated Remote Sensing Data. (Masters Thesis). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/54545 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:35285/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Liu, Li. “Road Extraction from Airborne Lidar Data and Integrated Remote Sensing Data.” 2015. Masters Thesis, University of New South Wales. Accessed May 09, 2021. http://handle.unsw.edu.au/1959.4/54545 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:35285/SOURCE02?view=true.

MLA Handbook (7th Edition):

Liu, Li. “Road Extraction from Airborne Lidar Data and Integrated Remote Sensing Data.” 2015. Web. 09 May 2021.

Vancouver:

Liu L. Road Extraction from Airborne Lidar Data and Integrated Remote Sensing Data. [Internet] [Masters thesis]. University of New South Wales; 2015. [cited 2021 May 09]. Available from: http://handle.unsw.edu.au/1959.4/54545 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:35285/SOURCE02?view=true.

Council of Science Editors:

Liu L. Road Extraction from Airborne Lidar Data and Integrated Remote Sensing Data. [Masters Thesis]. University of New South Wales; 2015. Available from: http://handle.unsw.edu.au/1959.4/54545 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:35285/SOURCE02?view=true


University of Missouri – Columbia

2. Aktar, Rumana. Automatic geospatial content summarization and visibility enhancement by dehazing in aerial imagery.

Degree: 2017, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] The objective of this work is to develop a methodology to summarize the content… (more)

Subjects/Keywords: Geospatial data; Aerial photographs; Aerial views; Imaging systems – Image quality

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APA (6th Edition):

Aktar, R. (2017). Automatic geospatial content summarization and visibility enhancement by dehazing in aerial imagery. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/62101

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):

Aktar, Rumana. “Automatic geospatial content summarization and visibility enhancement by dehazing in aerial imagery.” 2017. Thesis, University of Missouri – Columbia. Accessed May 09, 2021. http://hdl.handle.net/10355/62101.

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

MLA Handbook (7th Edition):

Aktar, Rumana. “Automatic geospatial content summarization and visibility enhancement by dehazing in aerial imagery.” 2017. Web. 09 May 2021.

Vancouver:

Aktar R. Automatic geospatial content summarization and visibility enhancement by dehazing in aerial imagery. [Internet] [Thesis]. University of Missouri – Columbia; 2017. [cited 2021 May 09]. Available from: http://hdl.handle.net/10355/62101.

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

Council of Science Editors:

Aktar R. Automatic geospatial content summarization and visibility enhancement by dehazing in aerial imagery. [Thesis]. University of Missouri – Columbia; 2017. Available from: http://hdl.handle.net/10355/62101

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


Mississippi State University

3. Rattanakaew, Totsanat. Utilization of canopy reflectance to predict yield response of corn and cotton to varying nitrogen rates.

Degree: PhD, Plant and Soil Sciences, 2015, Mississippi State University

  Fertilizer N is one of the most costly inputs in corn (<I>Zea mays</I> L.) and cotton (<I>Gossypium hirsutum</I> L.) production and is a strong… (more)

Subjects/Keywords: Corn; Cotton; Aerial image; Nitrogen; Vegetation Index

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APA (6th Edition):

Rattanakaew, T. (2015). Utilization of canopy reflectance to predict yield response of corn and cotton to varying nitrogen rates. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-07152015-110926/ ;

Chicago Manual of Style (16th Edition):

Rattanakaew, Totsanat. “Utilization of canopy reflectance to predict yield response of corn and cotton to varying nitrogen rates.” 2015. Doctoral Dissertation, Mississippi State University. Accessed May 09, 2021. http://sun.library.msstate.edu/ETD-db/theses/available/etd-07152015-110926/ ;.

MLA Handbook (7th Edition):

Rattanakaew, Totsanat. “Utilization of canopy reflectance to predict yield response of corn and cotton to varying nitrogen rates.” 2015. Web. 09 May 2021.

Vancouver:

Rattanakaew T. Utilization of canopy reflectance to predict yield response of corn and cotton to varying nitrogen rates. [Internet] [Doctoral dissertation]. Mississippi State University; 2015. [cited 2021 May 09]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07152015-110926/ ;.

Council of Science Editors:

Rattanakaew T. Utilization of canopy reflectance to predict yield response of corn and cotton to varying nitrogen rates. [Doctoral Dissertation]. Mississippi State University; 2015. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07152015-110926/ ;


Mississippi State University

4. Carruth, Mark. MULTISPECTRAL/MULTITEMPORAL AERIAL DETECTION AND MAPPING OF RED IMPORTED FIRE ANT COLONY MOUNDS IN TWO MONOCULTURAL GRASS TYPES.

Degree: MS, Geosciences, 2011, Mississippi State University

  The red imported fire ant (<i>Solenopsis invicta</i>)(RIFA) is a major pest in the United States, causing serious economic and human costs. This study explored… (more)

Subjects/Keywords: aerial; image; multispectral; Poisson; Moran's; ants; grass

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APA (6th Edition):

Carruth, M. (2011). MULTISPECTRAL/MULTITEMPORAL AERIAL DETECTION AND MAPPING OF RED IMPORTED FIRE ANT COLONY MOUNDS IN TWO MONOCULTURAL GRASS TYPES. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-12082010-204136/ ;

Chicago Manual of Style (16th Edition):

Carruth, Mark. “MULTISPECTRAL/MULTITEMPORAL AERIAL DETECTION AND MAPPING OF RED IMPORTED FIRE ANT COLONY MOUNDS IN TWO MONOCULTURAL GRASS TYPES.” 2011. Masters Thesis, Mississippi State University. Accessed May 09, 2021. http://sun.library.msstate.edu/ETD-db/theses/available/etd-12082010-204136/ ;.

MLA Handbook (7th Edition):

Carruth, Mark. “MULTISPECTRAL/MULTITEMPORAL AERIAL DETECTION AND MAPPING OF RED IMPORTED FIRE ANT COLONY MOUNDS IN TWO MONOCULTURAL GRASS TYPES.” 2011. Web. 09 May 2021.

Vancouver:

Carruth M. MULTISPECTRAL/MULTITEMPORAL AERIAL DETECTION AND MAPPING OF RED IMPORTED FIRE ANT COLONY MOUNDS IN TWO MONOCULTURAL GRASS TYPES. [Internet] [Masters thesis]. Mississippi State University; 2011. [cited 2021 May 09]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-12082010-204136/ ;.

Council of Science Editors:

Carruth M. MULTISPECTRAL/MULTITEMPORAL AERIAL DETECTION AND MAPPING OF RED IMPORTED FIRE ANT COLONY MOUNDS IN TWO MONOCULTURAL GRASS TYPES. [Masters Thesis]. Mississippi State University; 2011. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-12082010-204136/ ;


University of Georgia

5. Ashish, Dev. Land-use classification of aerial images using artificial neural networks.

Degree: 2014, University of Georgia

 This thesis describes the study of Artificial Neural Network (ANN) based techniques for the classification of aerial images for various types of land-use. In this… (more)

Subjects/Keywords: Aerial remote sensing; artificial neural networks; image classification; image processing.

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APA (6th Edition):

Ashish, D. (2014). Land-use classification of aerial images using artificial neural networks. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/29481

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):

Ashish, Dev. “Land-use classification of aerial images using artificial neural networks.” 2014. Thesis, University of Georgia. Accessed May 09, 2021. http://hdl.handle.net/10724/29481.

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

MLA Handbook (7th Edition):

Ashish, Dev. “Land-use classification of aerial images using artificial neural networks.” 2014. Web. 09 May 2021.

Vancouver:

Ashish D. Land-use classification of aerial images using artificial neural networks. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 May 09]. Available from: http://hdl.handle.net/10724/29481.

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

Council of Science Editors:

Ashish D. Land-use classification of aerial images using artificial neural networks. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/29481

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


NSYSU

6. Hu , Chun-Ting. The Study of Aerial Images Enhancement by Bi-dimensional Empirical mode Decomposition.

Degree: Master, Marine Environment and Engineering, 2012, NSYSU

Aerial images had been used in various fields. If the shooting it in conditions of bad weather, that quality was damage. So requires use of… (more)

Subjects/Keywords: aerial image; enhancement; BEMD; contrast adjustment; color transform

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APA (6th Edition):

Hu , C. (2012). The Study of Aerial Images Enhancement by Bi-dimensional Empirical mode Decomposition. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0220112-111808

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):

Hu , Chun-Ting. “The Study of Aerial Images Enhancement by Bi-dimensional Empirical mode Decomposition.” 2012. Thesis, NSYSU. Accessed May 09, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0220112-111808.

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

MLA Handbook (7th Edition):

Hu , Chun-Ting. “The Study of Aerial Images Enhancement by Bi-dimensional Empirical mode Decomposition.” 2012. Web. 09 May 2021.

Vancouver:

Hu C. The Study of Aerial Images Enhancement by Bi-dimensional Empirical mode Decomposition. [Internet] [Thesis]. NSYSU; 2012. [cited 2021 May 09]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0220112-111808.

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

Council of Science Editors:

Hu C. The Study of Aerial Images Enhancement by Bi-dimensional Empirical mode Decomposition. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0220112-111808

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


Mississippi State University

7. Zarzar, Christopher Michael. Assessment of remotely sensed image processing techniques for Unmanned Aerial System (UAS) applications.

Degree: PhD, Geosciences, 2017, Mississippi State University

  Unmanned Aerial Systems (UASs) offer a new era of local-scale environmental monitoring where access to invaluable aerial data no longer comes at a substantial… (more)

Subjects/Keywords: remote sensing; classifications; empirical line calibration; image correction; Unmanned Aerial System

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APA (6th Edition):

Zarzar, C. M. (2017). Assessment of remotely sensed image processing techniques for Unmanned Aerial System (UAS) applications. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-04182017-110122/ ;

Chicago Manual of Style (16th Edition):

Zarzar, Christopher Michael. “Assessment of remotely sensed image processing techniques for Unmanned Aerial System (UAS) applications.” 2017. Doctoral Dissertation, Mississippi State University. Accessed May 09, 2021. http://sun.library.msstate.edu/ETD-db/theses/available/etd-04182017-110122/ ;.

MLA Handbook (7th Edition):

Zarzar, Christopher Michael. “Assessment of remotely sensed image processing techniques for Unmanned Aerial System (UAS) applications.” 2017. Web. 09 May 2021.

Vancouver:

Zarzar CM. Assessment of remotely sensed image processing techniques for Unmanned Aerial System (UAS) applications. [Internet] [Doctoral dissertation]. Mississippi State University; 2017. [cited 2021 May 09]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04182017-110122/ ;.

Council of Science Editors:

Zarzar CM. Assessment of remotely sensed image processing techniques for Unmanned Aerial System (UAS) applications. [Doctoral Dissertation]. Mississippi State University; 2017. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04182017-110122/ ;


University of New Mexico

8. Dow, Ryan E. Drivable Space Datasets Created by Airborne LiDAR and Aerial Imagery.

Degree: Civil Engineering, 2019, University of New Mexico

  The civil engineering and construction industries are currently using geo browsers such as Google Earth to access satellite and aerial imagery to create and… (more)

Subjects/Keywords: Airborne LiDAR; Aerial Image; Drivable Space; Extraction; Civil and Environmental Engineering

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APA (6th Edition):

Dow, R. E. (2019). Drivable Space Datasets Created by Airborne LiDAR and Aerial Imagery. (Masters Thesis). University of New Mexico. Retrieved from https://digitalrepository.unm.edu/ce_etds/223

Chicago Manual of Style (16th Edition):

Dow, Ryan E. “Drivable Space Datasets Created by Airborne LiDAR and Aerial Imagery.” 2019. Masters Thesis, University of New Mexico. Accessed May 09, 2021. https://digitalrepository.unm.edu/ce_etds/223.

MLA Handbook (7th Edition):

Dow, Ryan E. “Drivable Space Datasets Created by Airborne LiDAR and Aerial Imagery.” 2019. Web. 09 May 2021.

Vancouver:

Dow RE. Drivable Space Datasets Created by Airborne LiDAR and Aerial Imagery. [Internet] [Masters thesis]. University of New Mexico; 2019. [cited 2021 May 09]. Available from: https://digitalrepository.unm.edu/ce_etds/223.

Council of Science Editors:

Dow RE. Drivable Space Datasets Created by Airborne LiDAR and Aerial Imagery. [Masters Thesis]. University of New Mexico; 2019. Available from: https://digitalrepository.unm.edu/ce_etds/223


University of Melbourne

9. GHANBARI PARMEHR, EBADAT. Automated alignment of multi-source photogrammetric data.

Degree: 2015, University of Melbourne

 The automatic registration of multi-source airborne and space-borne imaging and ranging data has generated much research interest in remote sensing and digital photogrammetry. This is… (more)

Subjects/Keywords: automatic alignment; multi-sensor data; LiDAR; aerial image

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APA (6th Edition):

GHANBARI PARMEHR, E. (2015). Automated alignment of multi-source photogrammetric data. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/55147

Chicago Manual of Style (16th Edition):

GHANBARI PARMEHR, EBADAT. “Automated alignment of multi-source photogrammetric data.” 2015. Doctoral Dissertation, University of Melbourne. Accessed May 09, 2021. http://hdl.handle.net/11343/55147.

MLA Handbook (7th Edition):

GHANBARI PARMEHR, EBADAT. “Automated alignment of multi-source photogrammetric data.” 2015. Web. 09 May 2021.

Vancouver:

GHANBARI PARMEHR E. Automated alignment of multi-source photogrammetric data. [Internet] [Doctoral dissertation]. University of Melbourne; 2015. [cited 2021 May 09]. Available from: http://hdl.handle.net/11343/55147.

Council of Science Editors:

GHANBARI PARMEHR E. Automated alignment of multi-source photogrammetric data. [Doctoral Dissertation]. University of Melbourne; 2015. Available from: http://hdl.handle.net/11343/55147


The Ohio State University

10. Wolters, Dustin Joseph. Assessment of Corn Plant Population at Emergence from Processed Color Aerial Imagery.

Degree: MS, Food, Agricultural and Biological Engineering, 2015, The Ohio State University

 As the application of remote sensing within the agricultural community continues to increase, the amount of data and management information acquired from layered sensing approaches… (more)

Subjects/Keywords: Agricultural Engineering; aerial photography; algorithms; image processing; remote sensing; corn; agriculture

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APA (6th Edition):

Wolters, D. J. (2015). Assessment of Corn Plant Population at Emergence from Processed Color Aerial Imagery. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1437666741

Chicago Manual of Style (16th Edition):

Wolters, Dustin Joseph. “Assessment of Corn Plant Population at Emergence from Processed Color Aerial Imagery.” 2015. Masters Thesis, The Ohio State University. Accessed May 09, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1437666741.

MLA Handbook (7th Edition):

Wolters, Dustin Joseph. “Assessment of Corn Plant Population at Emergence from Processed Color Aerial Imagery.” 2015. Web. 09 May 2021.

Vancouver:

Wolters DJ. Assessment of Corn Plant Population at Emergence from Processed Color Aerial Imagery. [Internet] [Masters thesis]. The Ohio State University; 2015. [cited 2021 May 09]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1437666741.

Council of Science Editors:

Wolters DJ. Assessment of Corn Plant Population at Emergence from Processed Color Aerial Imagery. [Masters Thesis]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1437666741

11. Ferla, Tania Mara. Simulação litográfica.

Degree: 2014, Brazil

Litografia óptica é o processo pelo qual os padrões desenhados pelos projetistas de circuitos integrados são transferidos para o wafer através de ondas de luz.… (more)

Subjects/Keywords: Microeletrônica; Processamento : Imagem; Lithography; Litographic simulation; Aerial image simulation; Optics

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APA (6th Edition):

Ferla, T. M. (2014). Simulação litográfica. (Masters Thesis). Brazil. Retrieved from http://hdl.handle.net/10183/138219

Chicago Manual of Style (16th Edition):

Ferla, Tania Mara. “Simulação litográfica.” 2014. Masters Thesis, Brazil. Accessed May 09, 2021. http://hdl.handle.net/10183/138219.

MLA Handbook (7th Edition):

Ferla, Tania Mara. “Simulação litográfica.” 2014. Web. 09 May 2021.

Vancouver:

Ferla TM. Simulação litográfica. [Internet] [Masters thesis]. Brazil; 2014. [cited 2021 May 09]. Available from: http://hdl.handle.net/10183/138219.

Council of Science Editors:

Ferla TM. Simulação litográfica. [Masters Thesis]. Brazil; 2014. Available from: http://hdl.handle.net/10183/138219


University of Arizona

12. George, Anoop. CHARACTERISTICS AND APPLICATIONS OF A SCANNING NANO-SLIT OPTICAL SENSOR .

Degree: 2011, University of Arizona

 In this dissertation, imaging characteristics of a nano-slit are investigated. Applications of a scanning and rotating nano-slit in measuring sub-micron aerial features are demonstrated. Coherent… (more)

Subjects/Keywords: Aerial image; Image reconstruction; Nano apertures; Scanning apertures; Scanning slit; Tomographic imaging

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APA (6th Edition):

George, A. (2011). CHARACTERISTICS AND APPLICATIONS OF A SCANNING NANO-SLIT OPTICAL SENSOR . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/195864

Chicago Manual of Style (16th Edition):

George, Anoop. “CHARACTERISTICS AND APPLICATIONS OF A SCANNING NANO-SLIT OPTICAL SENSOR .” 2011. Doctoral Dissertation, University of Arizona. Accessed May 09, 2021. http://hdl.handle.net/10150/195864.

MLA Handbook (7th Edition):

George, Anoop. “CHARACTERISTICS AND APPLICATIONS OF A SCANNING NANO-SLIT OPTICAL SENSOR .” 2011. Web. 09 May 2021.

Vancouver:

George A. CHARACTERISTICS AND APPLICATIONS OF A SCANNING NANO-SLIT OPTICAL SENSOR . [Internet] [Doctoral dissertation]. University of Arizona; 2011. [cited 2021 May 09]. Available from: http://hdl.handle.net/10150/195864.

Council of Science Editors:

George A. CHARACTERISTICS AND APPLICATIONS OF A SCANNING NANO-SLIT OPTICAL SENSOR . [Doctoral Dissertation]. University of Arizona; 2011. Available from: http://hdl.handle.net/10150/195864


Swedish University of Agricultural Sciences

13. Bohlin, Jonas. Data collection for forest management planning using stereo photogrammetry.

Degree: 2017, Swedish University of Agricultural Sciences

 Forest managers need information about the forest state for planning treatments. The information needs to be sufficient for the purpose and preferably obtained at low… (more)

Subjects/Keywords: aerial photography; image analysis; multispectral imagery; area-based approach; aerial images; image matching; multi-spectral lidar; forest management planning; forest variables; photogrammetry; remote sensing; species-specific

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APA (6th Edition):

Bohlin, J. (2017). Data collection for forest management planning using stereo photogrammetry. (Doctoral Dissertation). Swedish University of Agricultural Sciences. Retrieved from https://pub.epsilon.slu.se/14752/

Chicago Manual of Style (16th Edition):

Bohlin, Jonas. “Data collection for forest management planning using stereo photogrammetry.” 2017. Doctoral Dissertation, Swedish University of Agricultural Sciences. Accessed May 09, 2021. https://pub.epsilon.slu.se/14752/.

MLA Handbook (7th Edition):

Bohlin, Jonas. “Data collection for forest management planning using stereo photogrammetry.” 2017. Web. 09 May 2021.

Vancouver:

Bohlin J. Data collection for forest management planning using stereo photogrammetry. [Internet] [Doctoral dissertation]. Swedish University of Agricultural Sciences; 2017. [cited 2021 May 09]. Available from: https://pub.epsilon.slu.se/14752/.

Council of Science Editors:

Bohlin J. Data collection for forest management planning using stereo photogrammetry. [Doctoral Dissertation]. Swedish University of Agricultural Sciences; 2017. Available from: https://pub.epsilon.slu.se/14752/


Swedish University of Agricultural Sciences

14. Bohlin, Jonas. Data collection for forest management planning using stereo photogrammetry.

Degree: 2017, Swedish University of Agricultural Sciences

 Forest managers need information about the forest state for planning treatments. The information needs to be sufficient for the purpose and preferably obtained at low… (more)

Subjects/Keywords: aerial photography; image analysis; multispectral imagery; area-based approach; aerial images; image matching; multi-spectral lidar; forest management planning; forest variables; photogrammetry; remote sensing; species-specific

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APA (6th Edition):

Bohlin, J. (2017). Data collection for forest management planning using stereo photogrammetry. (Doctoral Dissertation). Swedish University of Agricultural Sciences. Retrieved from https://pub.epsilon.slu.se/14752/

Chicago Manual of Style (16th Edition):

Bohlin, Jonas. “Data collection for forest management planning using stereo photogrammetry.” 2017. Doctoral Dissertation, Swedish University of Agricultural Sciences. Accessed May 09, 2021. https://pub.epsilon.slu.se/14752/.

MLA Handbook (7th Edition):

Bohlin, Jonas. “Data collection for forest management planning using stereo photogrammetry.” 2017. Web. 09 May 2021.

Vancouver:

Bohlin J. Data collection for forest management planning using stereo photogrammetry. [Internet] [Doctoral dissertation]. Swedish University of Agricultural Sciences; 2017. [cited 2021 May 09]. Available from: https://pub.epsilon.slu.se/14752/.

Council of Science Editors:

Bohlin J. Data collection for forest management planning using stereo photogrammetry. [Doctoral Dissertation]. Swedish University of Agricultural Sciences; 2017. Available from: https://pub.epsilon.slu.se/14752/

15. Câmara, Ariele. A fotointerpretação como recurso de prospeção arqueológica. Chaves para a identificação e interpretação de monumentos megalíticos no Alentejo: aplicação nos concelhos de Mora e Arraiolos.

Degree: 2017, Universidade de Évora

 A utilização de imagens aéreas e de satélites permite compreender a paisagem local e identificar potenciais sítios de interesse arqueológico. Para a realização destas análises,… (more)

Subjects/Keywords: Imagem aérea; Fotointerpretação; Dólmens; Alentejo; Mora; Arraiolos; Aerial image; Photo interpretation; Dolmens; Alentejo; Mora; Arraiolos

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

APA (6th Edition):

Câmara, A. (2017). A fotointerpretação como recurso de prospeção arqueológica. Chaves para a identificação e interpretação de monumentos megalíticos no Alentejo: aplicação nos concelhos de Mora e Arraiolos. (Thesis). Universidade de Évora. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:dspace.uevora.pt:10174/22054

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):

Câmara, Ariele. “A fotointerpretação como recurso de prospeção arqueológica. Chaves para a identificação e interpretação de monumentos megalíticos no Alentejo: aplicação nos concelhos de Mora e Arraiolos.” 2017. Thesis, Universidade de Évora. Accessed May 09, 2021. https://www.rcaap.pt/detail.jsp?id=oai:dspace.uevora.pt:10174/22054.

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

MLA Handbook (7th Edition):

Câmara, Ariele. “A fotointerpretação como recurso de prospeção arqueológica. Chaves para a identificação e interpretação de monumentos megalíticos no Alentejo: aplicação nos concelhos de Mora e Arraiolos.” 2017. Web. 09 May 2021.

Vancouver:

Câmara A. A fotointerpretação como recurso de prospeção arqueológica. Chaves para a identificação e interpretação de monumentos megalíticos no Alentejo: aplicação nos concelhos de Mora e Arraiolos. [Internet] [Thesis]. Universidade de Évora; 2017. [cited 2021 May 09]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:dspace.uevora.pt:10174/22054.

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

Council of Science Editors:

Câmara A. A fotointerpretação como recurso de prospeção arqueológica. Chaves para a identificação e interpretação de monumentos megalíticos no Alentejo: aplicação nos concelhos de Mora e Arraiolos. [Thesis]. Universidade de Évora; 2017. Available from: https://www.rcaap.pt/detail.jsp?id=oai:dspace.uevora.pt:10174/22054

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


Utah State University

16. He, Yi. An Analysis of Airborne Data Collection Methods for Updating Highway Feature Inventory.

Degree: MS, Civil and Environmental Engineering, 2016, Utah State University

  Highway assets, including traffic signs, traffic signals, light poles, and guardrails, are important components of transportation networks. They guide, warn and protect drivers, and… (more)

Subjects/Keywords: Airborne LiDAR; aerial image; highway inventory; automatic feature extraction; Civil and Environmental Engineering

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

APA (6th Edition):

He, Y. (2016). An Analysis of Airborne Data Collection Methods for Updating Highway Feature Inventory. (Masters Thesis). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/5016

Chicago Manual of Style (16th Edition):

He, Yi. “An Analysis of Airborne Data Collection Methods for Updating Highway Feature Inventory.” 2016. Masters Thesis, Utah State University. Accessed May 09, 2021. https://digitalcommons.usu.edu/etd/5016.

MLA Handbook (7th Edition):

He, Yi. “An Analysis of Airborne Data Collection Methods for Updating Highway Feature Inventory.” 2016. Web. 09 May 2021.

Vancouver:

He Y. An Analysis of Airborne Data Collection Methods for Updating Highway Feature Inventory. [Internet] [Masters thesis]. Utah State University; 2016. [cited 2021 May 09]. Available from: https://digitalcommons.usu.edu/etd/5016.

Council of Science Editors:

He Y. An Analysis of Airborne Data Collection Methods for Updating Highway Feature Inventory. [Masters Thesis]. Utah State University; 2016. Available from: https://digitalcommons.usu.edu/etd/5016


University of Notre Dame

17. Jim O Thomas. Computer Vision Techniques for Damage Assessment from High Resolution Remote Sensing Imagery</h1>.

Degree: Computer Science and Engineering, 2012, University of Notre Dame

  Techniques in post-disaster assessment from remote sensing imagery have been studied by different research communities in the past decade. Such an assessment benefits everybody… (more)

Subjects/Keywords: machine learning; computer vision; image processing; building detection; aerial images; damage assessment

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

APA (6th Edition):

Thomas, J. O. (2012). Computer Vision Techniques for Damage Assessment from High Resolution Remote Sensing Imagery</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/rj430289f89

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):

Thomas, Jim O. “Computer Vision Techniques for Damage Assessment from High Resolution Remote Sensing Imagery</h1>.” 2012. Thesis, University of Notre Dame. Accessed May 09, 2021. https://curate.nd.edu/show/rj430289f89.

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

MLA Handbook (7th Edition):

Thomas, Jim O. “Computer Vision Techniques for Damage Assessment from High Resolution Remote Sensing Imagery</h1>.” 2012. Web. 09 May 2021.

Vancouver:

Thomas JO. Computer Vision Techniques for Damage Assessment from High Resolution Remote Sensing Imagery</h1>. [Internet] [Thesis]. University of Notre Dame; 2012. [cited 2021 May 09]. Available from: https://curate.nd.edu/show/rj430289f89.

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

Council of Science Editors:

Thomas JO. Computer Vision Techniques for Damage Assessment from High Resolution Remote Sensing Imagery</h1>. [Thesis]. University of Notre Dame; 2012. Available from: https://curate.nd.edu/show/rj430289f89

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


University of Illinois – Urbana-Champaign

18. Wu, Pei-Ci. New methods for electronic design automation problems.

Degree: PhD, Electrical & Computer Engr, 2015, University of Illinois – Urbana-Champaign

 As the semiconductor technology marches towards the 14nm node and beyond, EDA (electronic design automation) has rapidly increased in importance with ever more complicated modern… (more)

Subjects/Keywords: Electronic Design Automation (EDA); Timing Closure; Buffer Insertion; Aerial Image Simulation; Escape Routing; Bus Planner

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

APA (6th Edition):

Wu, P. (2015). New methods for electronic design automation problems. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/78447

Chicago Manual of Style (16th Edition):

Wu, Pei-Ci. “New methods for electronic design automation problems.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed May 09, 2021. http://hdl.handle.net/2142/78447.

MLA Handbook (7th Edition):

Wu, Pei-Ci. “New methods for electronic design automation problems.” 2015. Web. 09 May 2021.

Vancouver:

Wu P. New methods for electronic design automation problems. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2021 May 09]. Available from: http://hdl.handle.net/2142/78447.

Council of Science Editors:

Wu P. New methods for electronic design automation problems. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/78447


Laurentian University

19. Althwaini, Abdulkareem Ali. Aerial image segmentation .

Degree: 2016, Laurentian University

Image segmentation plays a vital role in applications such as remote sensing. For this example, remote sensing, aerial image segmentation is a special case of… (more)

Subjects/Keywords: Aerial image segmentation; smoothing filters; k-means classifying; c-means fuzzy classifying

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

APA (6th Edition):

Althwaini, A. A. (2016). Aerial image segmentation . (Thesis). Laurentian University. Retrieved from https://zone.biblio.laurentian.ca/handle/10219/2616

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):

Althwaini, Abdulkareem Ali. “Aerial image segmentation .” 2016. Thesis, Laurentian University. Accessed May 09, 2021. https://zone.biblio.laurentian.ca/handle/10219/2616.

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

MLA Handbook (7th Edition):

Althwaini, Abdulkareem Ali. “Aerial image segmentation .” 2016. Web. 09 May 2021.

Vancouver:

Althwaini AA. Aerial image segmentation . [Internet] [Thesis]. Laurentian University; 2016. [cited 2021 May 09]. Available from: https://zone.biblio.laurentian.ca/handle/10219/2616.

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

Council of Science Editors:

Althwaini AA. Aerial image segmentation . [Thesis]. Laurentian University; 2016. Available from: https://zone.biblio.laurentian.ca/handle/10219/2616

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


University of Illinois – Urbana-Champaign

20. Fan, Youheng. An adaptive image processing algorithm for field plant population analysis based on UAV imaging system.

Degree: MS, Agricultural & Biological Engr, 2018, University of Illinois – Urbana-Champaign

 Plant population is among the most important items of agricultural data. In crop science, plant population determines canopy closure time, plant spacing, and weeds competition.… (more)

Subjects/Keywords: plant population; image processing; unmanned aerial vehicle; remote sensing; population map; precision agriculture

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

APA (6th Edition):

Fan, Y. (2018). An adaptive image processing algorithm for field plant population analysis based on UAV imaging system. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/101720

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):

Fan, Youheng. “An adaptive image processing algorithm for field plant population analysis based on UAV imaging system.” 2018. Thesis, University of Illinois – Urbana-Champaign. Accessed May 09, 2021. http://hdl.handle.net/2142/101720.

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

MLA Handbook (7th Edition):

Fan, Youheng. “An adaptive image processing algorithm for field plant population analysis based on UAV imaging system.” 2018. Web. 09 May 2021.

Vancouver:

Fan Y. An adaptive image processing algorithm for field plant population analysis based on UAV imaging system. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2018. [cited 2021 May 09]. Available from: http://hdl.handle.net/2142/101720.

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

Council of Science Editors:

Fan Y. An adaptive image processing algorithm for field plant population analysis based on UAV imaging system. [Thesis]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/101720

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


Rochester Institute of Technology

21. Liang, Yilong. Object Detection in High Resolution Aerial Images and Hyperspectral Remote Sensing Images.

Degree: PhD, Chester F. Carlson Center for Imaging Science (COS), 2019, Rochester Institute of Technology

  With rapid developments in satellite and sensor technologies, there has been a dramatic increase in the availability of remotely sensed images. However, the exploration… (more)

Subjects/Keywords: Convolutional neural network; Graph matching; High resolution aerial image; Hyperspectral image; Object detection; Subpixel target detection

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

APA (6th Edition):

Liang, Y. (2019). Object Detection in High Resolution Aerial Images and Hyperspectral Remote Sensing Images. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10292

Chicago Manual of Style (16th Edition):

Liang, Yilong. “Object Detection in High Resolution Aerial Images and Hyperspectral Remote Sensing Images.” 2019. Doctoral Dissertation, Rochester Institute of Technology. Accessed May 09, 2021. https://scholarworks.rit.edu/theses/10292.

MLA Handbook (7th Edition):

Liang, Yilong. “Object Detection in High Resolution Aerial Images and Hyperspectral Remote Sensing Images.” 2019. Web. 09 May 2021.

Vancouver:

Liang Y. Object Detection in High Resolution Aerial Images and Hyperspectral Remote Sensing Images. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2019. [cited 2021 May 09]. Available from: https://scholarworks.rit.edu/theses/10292.

Council of Science Editors:

Liang Y. Object Detection in High Resolution Aerial Images and Hyperspectral Remote Sensing Images. [Doctoral Dissertation]. Rochester Institute of Technology; 2019. Available from: https://scholarworks.rit.edu/theses/10292


Utah State University

22. Jensen, Austin M. gRAID: A Geospatial Real-Time Aerial Image Display for a Low-Cost Autonomous Multispectral Remote Sensing Platform (AggieAir).

Degree: MS, Electrical and Computer Engineering, 2009, Utah State University

  Remote sensing helps many applications like precision irrigation, habitat mapping, and traffic monitoring. However, due to shortcomings of current remote sensing platforms - like… (more)

Subjects/Keywords: Aerial Image; Orthorectification; Remote Sensing; Unmanned Aerial Vehicle; World Wind; Computer Engineering

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

APA (6th Edition):

Jensen, A. M. (2009). gRAID: A Geospatial Real-Time Aerial Image Display for a Low-Cost Autonomous Multispectral Remote Sensing Platform (AggieAir). (Masters Thesis). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/497

Chicago Manual of Style (16th Edition):

Jensen, Austin M. “gRAID: A Geospatial Real-Time Aerial Image Display for a Low-Cost Autonomous Multispectral Remote Sensing Platform (AggieAir).” 2009. Masters Thesis, Utah State University. Accessed May 09, 2021. https://digitalcommons.usu.edu/etd/497.

MLA Handbook (7th Edition):

Jensen, Austin M. “gRAID: A Geospatial Real-Time Aerial Image Display for a Low-Cost Autonomous Multispectral Remote Sensing Platform (AggieAir).” 2009. Web. 09 May 2021.

Vancouver:

Jensen AM. gRAID: A Geospatial Real-Time Aerial Image Display for a Low-Cost Autonomous Multispectral Remote Sensing Platform (AggieAir). [Internet] [Masters thesis]. Utah State University; 2009. [cited 2021 May 09]. Available from: https://digitalcommons.usu.edu/etd/497.

Council of Science Editors:

Jensen AM. gRAID: A Geospatial Real-Time Aerial Image Display for a Low-Cost Autonomous Multispectral Remote Sensing Platform (AggieAir). [Masters Thesis]. Utah State University; 2009. Available from: https://digitalcommons.usu.edu/etd/497


Queensland University of Technology

23. Li, Zhengrong. Aerial image analysis using spiking neural networks with application to power line corridor monitoring.

Degree: 2011, Queensland University of Technology

 Trees, shrubs and other vegetation are of continued importance to the environment and our daily life. They provide shade around our roads and houses, offer… (more)

Subjects/Keywords: biologically inspired image processing; pulse coupled neural network; power line corridor monitoring; aerial remote sensing; vegetation management; geographic object based image analysis; image segmentation; visual feature extraction; machine learning

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

APA (6th Edition):

Li, Z. (2011). Aerial image analysis using spiking neural networks with application to power line corridor monitoring. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/46161/

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):

Li, Zhengrong. “Aerial image analysis using spiking neural networks with application to power line corridor monitoring.” 2011. Thesis, Queensland University of Technology. Accessed May 09, 2021. https://eprints.qut.edu.au/46161/.

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

MLA Handbook (7th Edition):

Li, Zhengrong. “Aerial image analysis using spiking neural networks with application to power line corridor monitoring.” 2011. Web. 09 May 2021.

Vancouver:

Li Z. Aerial image analysis using spiking neural networks with application to power line corridor monitoring. [Internet] [Thesis]. Queensland University of Technology; 2011. [cited 2021 May 09]. Available from: https://eprints.qut.edu.au/46161/.

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

Council of Science Editors:

Li Z. Aerial image analysis using spiking neural networks with application to power line corridor monitoring. [Thesis]. Queensland University of Technology; 2011. Available from: https://eprints.qut.edu.au/46161/

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

24. Nilsson, Niklas. Feature detection for geospatial referencing.

Degree: Physics, 2019, Umeå University

With the drone industry's recent explosive advancement, aerial photography is becoming increasingly important for an array of applications ranging from construction to agriculture. A… (more)

Subjects/Keywords: Feature detection; feature description; feature; image processing; digital image processing; image analysis; aerial photography; drone; Bildanalys; flygfotografi; flygfoto; bildprocessering; Computational Mathematics; Beräkningsmatematik

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APA (6th Edition):

Nilsson, N. (2019). Feature detection for geospatial referencing. (Thesis). Umeå University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-159809

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):

Nilsson, Niklas. “Feature detection for geospatial referencing.” 2019. Thesis, Umeå University. Accessed May 09, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-159809.

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

MLA Handbook (7th Edition):

Nilsson, Niklas. “Feature detection for geospatial referencing.” 2019. Web. 09 May 2021.

Vancouver:

Nilsson N. Feature detection for geospatial referencing. [Internet] [Thesis]. Umeå University; 2019. [cited 2021 May 09]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-159809.

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

Council of Science Editors:

Nilsson N. Feature detection for geospatial referencing. [Thesis]. Umeå University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-159809

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


Wright State University

25. Salva, Karol T. A Hybrid Approach to Aerial Video Image Registration.

Degree: MS, Computer Science, 2016, Wright State University

 Many video processing applications, such as motion detection and tracking, rely on accurate and robust alignment between consecutive video frames. Traditional approaches to video image(more)

Subjects/Keywords: Computer Science; registration; video registration; image registration; image alignment; homography estimation; remote sensing; aerial image; aerial video; full motion video; KLT; NGC; OC; NCC; normalized gradient correlation; orientation correlation; correlation; fourier

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

APA (6th Edition):

Salva, K. T. (2016). A Hybrid Approach to Aerial Video Image Registration. (Masters Thesis). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1483524722687971

Chicago Manual of Style (16th Edition):

Salva, Karol T. “A Hybrid Approach to Aerial Video Image Registration.” 2016. Masters Thesis, Wright State University. Accessed May 09, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=wright1483524722687971.

MLA Handbook (7th Edition):

Salva, Karol T. “A Hybrid Approach to Aerial Video Image Registration.” 2016. Web. 09 May 2021.

Vancouver:

Salva KT. A Hybrid Approach to Aerial Video Image Registration. [Internet] [Masters thesis]. Wright State University; 2016. [cited 2021 May 09]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1483524722687971.

Council of Science Editors:

Salva KT. A Hybrid Approach to Aerial Video Image Registration. [Masters Thesis]. Wright State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1483524722687971


NSYSU

26. Huang, Han-che. The Study of Aerial Imageries Stitching Based on SIFT Algorithm.

Degree: Master, Marine Environment and Engineering, 2009, NSYSU

 The ultimate goal of the development of aerial photogrammery is to acquire rapidly and accurately the ground measurements. However, traditional photogrammetric technologies, particularly in the… (more)

Subjects/Keywords: Hugin-Panorama Photo Stitching software; Aerial Photogrammetry; Image Stitching; SIFT; Inter-Grid Down-Sampling (IGDS) method

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

APA (6th Edition):

Huang, H. (2009). The Study of Aerial Imageries Stitching Based on SIFT Algorithm. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801109-164648

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):

Huang, Han-che. “The Study of Aerial Imageries Stitching Based on SIFT Algorithm.” 2009. Thesis, NSYSU. Accessed May 09, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801109-164648.

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

MLA Handbook (7th Edition):

Huang, Han-che. “The Study of Aerial Imageries Stitching Based on SIFT Algorithm.” 2009. Web. 09 May 2021.

Vancouver:

Huang H. The Study of Aerial Imageries Stitching Based on SIFT Algorithm. [Internet] [Thesis]. NSYSU; 2009. [cited 2021 May 09]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801109-164648.

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

Council of Science Editors:

Huang H. The Study of Aerial Imageries Stitching Based on SIFT Algorithm. [Thesis]. NSYSU; 2009. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801109-164648

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


University of California – Berkeley

27. Solera, Melissa Viola Eitzel. Synthesizing multiple data sources to understand the population and community ecology of California trees.

Degree: Environmental Science, Policy, & Management, 2014, University of California – Berkeley

 In this work, I answer timely questions regarding tree growth, tree survival, and community change in California tree species, using a variety of sophisticated statistical… (more)

Subjects/Keywords: Ecology; Statistics; Forestry; Forest Inventories; Historical Aerial Imagery; Object-Based Image Analysis; State-Space Models; Tree Demography; Woody Cover Change

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

APA (6th Edition):

Solera, M. V. E. (2014). Synthesizing multiple data sources to understand the population and community ecology of California trees. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/78r1q5tv

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):

Solera, Melissa Viola Eitzel. “Synthesizing multiple data sources to understand the population and community ecology of California trees.” 2014. Thesis, University of California – Berkeley. Accessed May 09, 2021. http://www.escholarship.org/uc/item/78r1q5tv.

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

MLA Handbook (7th Edition):

Solera, Melissa Viola Eitzel. “Synthesizing multiple data sources to understand the population and community ecology of California trees.” 2014. Web. 09 May 2021.

Vancouver:

Solera MVE. Synthesizing multiple data sources to understand the population and community ecology of California trees. [Internet] [Thesis]. University of California – Berkeley; 2014. [cited 2021 May 09]. Available from: http://www.escholarship.org/uc/item/78r1q5tv.

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

Council of Science Editors:

Solera MVE. Synthesizing multiple data sources to understand the population and community ecology of California trees. [Thesis]. University of California – Berkeley; 2014. Available from: http://www.escholarship.org/uc/item/78r1q5tv

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


University of California – Berkeley

28. Lee, Jun Hak. Automated approaches for extracting individual tree level forest information using high spatial resolution remotely sensed data.

Degree: Environmental Science, Policy, & Management, 2010, University of California – Berkeley

 Detailed forest information is increasingly desired not only for forest management purposes but also for maintaining and enhancing sustainable forest ecosystems. Although precise measurements of… (more)

Subjects/Keywords: Environmental science; Remote sensing; Forestry; aerial photographs; forest inventory; image registration; Individual tree; LiDAR; multisource data integration

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APA (6th Edition):

Lee, J. H. (2010). Automated approaches for extracting individual tree level forest information using high spatial resolution remotely sensed data. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/7z1861t7

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):

Lee, Jun Hak. “Automated approaches for extracting individual tree level forest information using high spatial resolution remotely sensed data.” 2010. Thesis, University of California – Berkeley. Accessed May 09, 2021. http://www.escholarship.org/uc/item/7z1861t7.

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

MLA Handbook (7th Edition):

Lee, Jun Hak. “Automated approaches for extracting individual tree level forest information using high spatial resolution remotely sensed data.” 2010. Web. 09 May 2021.

Vancouver:

Lee JH. Automated approaches for extracting individual tree level forest information using high spatial resolution remotely sensed data. [Internet] [Thesis]. University of California – Berkeley; 2010. [cited 2021 May 09]. Available from: http://www.escholarship.org/uc/item/7z1861t7.

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

Council of Science Editors:

Lee JH. Automated approaches for extracting individual tree level forest information using high spatial resolution remotely sensed data. [Thesis]. University of California – Berkeley; 2010. Available from: http://www.escholarship.org/uc/item/7z1861t7

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


University of Johannesburg

29. Cronje, Jaco. Binary image features designed towards vision-based localization and environment mapping from micro aerial vehicle (MAV) captured images.

Degree: 2012, University of Johannesburg

M.Phil.

This work proposes a fast local image feature detector and descriptor that is im- plementable on a GPU. The BFROST feature detector is the… (more)

Subjects/Keywords: Binary image; Micro aerial vehicle captured images; Remote sensing - Data processing; Micro air vehicles; Mobile geographic information systems; Imaging systems

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

APA (6th Edition):

Cronje, J. (2012). Binary image features designed towards vision-based localization and environment mapping from micro aerial vehicle (MAV) captured images. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/7881

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):

Cronje, Jaco. “Binary image features designed towards vision-based localization and environment mapping from micro aerial vehicle (MAV) captured images.” 2012. Thesis, University of Johannesburg. Accessed May 09, 2021. http://hdl.handle.net/10210/7881.

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

MLA Handbook (7th Edition):

Cronje, Jaco. “Binary image features designed towards vision-based localization and environment mapping from micro aerial vehicle (MAV) captured images.” 2012. Web. 09 May 2021.

Vancouver:

Cronje J. Binary image features designed towards vision-based localization and environment mapping from micro aerial vehicle (MAV) captured images. [Internet] [Thesis]. University of Johannesburg; 2012. [cited 2021 May 09]. Available from: http://hdl.handle.net/10210/7881.

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

Council of Science Editors:

Cronje J. Binary image features designed towards vision-based localization and environment mapping from micro aerial vehicle (MAV) captured images. [Thesis]. University of Johannesburg; 2012. Available from: http://hdl.handle.net/10210/7881

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


Utah State University

30. Dorafshan, Sattar. Non-Contact Evaluation Methods for Infrastructure Condition Assessment.

Degree: PhD, Civil and Environmental Engineering, 2018, Utah State University

  The United States infrastructure, e.g. roads and bridges, are in a critical condition. Inspection, monitoring, and maintenance of these infrastructure in the traditional manner… (more)

Subjects/Keywords: Defect detection; Bridge inspections; Unmanned aerial systems; image processing; Convolutional neural networks; Civil and Environmental Engineering

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

APA (6th Edition):

Dorafshan, S. (2018). Non-Contact Evaluation Methods for Infrastructure Condition Assessment. (Doctoral Dissertation). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/7314

Chicago Manual of Style (16th Edition):

Dorafshan, Sattar. “Non-Contact Evaluation Methods for Infrastructure Condition Assessment.” 2018. Doctoral Dissertation, Utah State University. Accessed May 09, 2021. https://digitalcommons.usu.edu/etd/7314.

MLA Handbook (7th Edition):

Dorafshan, Sattar. “Non-Contact Evaluation Methods for Infrastructure Condition Assessment.” 2018. Web. 09 May 2021.

Vancouver:

Dorafshan S. Non-Contact Evaluation Methods for Infrastructure Condition Assessment. [Internet] [Doctoral dissertation]. Utah State University; 2018. [cited 2021 May 09]. Available from: https://digitalcommons.usu.edu/etd/7314.

Council of Science Editors:

Dorafshan S. Non-Contact Evaluation Methods for Infrastructure Condition Assessment. [Doctoral Dissertation]. Utah State University; 2018. Available from: https://digitalcommons.usu.edu/etd/7314

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