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You searched for subject:(hyperspectral). Showing records 1 – 30 of 602 total matches.

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University of Georgia

1. Wang, Weilin. Development of a liquid crystal tunable filter based shortwave infrared spectral imaging system and its application in the early detection of sour skin in onions.

Degree: MS, Biological Engineering, 2010, University of Georgia

 Sour skin is a major onion disease caused by the bacterium Burkholderia cepacia (B. cepacia). It not only causes substantial economic loss from diseased onions… (more)

Subjects/Keywords: Hyperspectral imaging

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APA (6th Edition):

Wang, W. (2010). Development of a liquid crystal tunable filter based shortwave infrared spectral imaging system and its application in the early detection of sour skin in onions. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/wang_weilin_201012_ms

Chicago Manual of Style (16th Edition):

Wang, Weilin. “Development of a liquid crystal tunable filter based shortwave infrared spectral imaging system and its application in the early detection of sour skin in onions.” 2010. Masters Thesis, University of Georgia. Accessed June 04, 2020. http://purl.galileo.usg.edu/uga_etd/wang_weilin_201012_ms.

MLA Handbook (7th Edition):

Wang, Weilin. “Development of a liquid crystal tunable filter based shortwave infrared spectral imaging system and its application in the early detection of sour skin in onions.” 2010. Web. 04 Jun 2020.

Vancouver:

Wang W. Development of a liquid crystal tunable filter based shortwave infrared spectral imaging system and its application in the early detection of sour skin in onions. [Internet] [Masters thesis]. University of Georgia; 2010. [cited 2020 Jun 04]. Available from: http://purl.galileo.usg.edu/uga_etd/wang_weilin_201012_ms.

Council of Science Editors:

Wang W. Development of a liquid crystal tunable filter based shortwave infrared spectral imaging system and its application in the early detection of sour skin in onions. [Masters Thesis]. University of Georgia; 2010. Available from: http://purl.galileo.usg.edu/uga_etd/wang_weilin_201012_ms


University of New South Wales

2. Raval, Simitkumar. Investigation of mine environmental monitoring with satellite based sensors.

Degree: Mining Engineering, 2011, University of New South Wales

 In light of increasing concerns for sustainable mining practices, it is critical to monitor the environment in and around mines, through advanced and more sensitive… (more)

Subjects/Keywords: Hyperspectral; Multispectral / Hyperspectral; Mine Environment; Remote Sensing

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APA (6th Edition):

Raval, S. (2011). Investigation of mine environmental monitoring with satellite based sensors. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/51480 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10167/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Raval, Simitkumar. “Investigation of mine environmental monitoring with satellite based sensors.” 2011. Doctoral Dissertation, University of New South Wales. Accessed June 04, 2020. http://handle.unsw.edu.au/1959.4/51480 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10167/SOURCE02?view=true.

MLA Handbook (7th Edition):

Raval, Simitkumar. “Investigation of mine environmental monitoring with satellite based sensors.” 2011. Web. 04 Jun 2020.

Vancouver:

Raval S. Investigation of mine environmental monitoring with satellite based sensors. [Internet] [Doctoral dissertation]. University of New South Wales; 2011. [cited 2020 Jun 04]. Available from: http://handle.unsw.edu.au/1959.4/51480 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10167/SOURCE02?view=true.

Council of Science Editors:

Raval S. Investigation of mine environmental monitoring with satellite based sensors. [Doctoral Dissertation]. University of New South Wales; 2011. Available from: http://handle.unsw.edu.au/1959.4/51480 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10167/SOURCE02?view=true


Cranfield University

3. Ibrahim, I. Illumination invariance and shadow compensation on hyperspectral images.

Degree: PhD, 2014, Cranfield University

 To obtain intrinsic reflectance of the scene by hyperspectral imaging systems has been a scientific and engineering challenge. Factors such as illumination variations, atmospheric effects… (more)

Subjects/Keywords: 621.36; Hyperspectral; Polarisation

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APA (6th Edition):

Ibrahim, I. (2014). Illumination invariance and shadow compensation on hyperspectral images. (Doctoral Dissertation). Cranfield University. Retrieved from http://dspace.lib.cranfield.ac.uk/handle/1826/8769 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.630002

Chicago Manual of Style (16th Edition):

Ibrahim, I. “Illumination invariance and shadow compensation on hyperspectral images.” 2014. Doctoral Dissertation, Cranfield University. Accessed June 04, 2020. http://dspace.lib.cranfield.ac.uk/handle/1826/8769 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.630002.

MLA Handbook (7th Edition):

Ibrahim, I. “Illumination invariance and shadow compensation on hyperspectral images.” 2014. Web. 04 Jun 2020.

Vancouver:

Ibrahim I. Illumination invariance and shadow compensation on hyperspectral images. [Internet] [Doctoral dissertation]. Cranfield University; 2014. [cited 2020 Jun 04]. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/8769 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.630002.

Council of Science Editors:

Ibrahim I. Illumination invariance and shadow compensation on hyperspectral images. [Doctoral Dissertation]. Cranfield University; 2014. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/8769 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.630002


Wright State University

4. Vongsy, Karmon Marie. CHANGE DETECTION METHODS FOR HYPERSPECTRAL IMAGERY.

Degree: MSEgr, Electrical Engineering, 2007, Wright State University

 This thesis studies the detection of changes using hyperspectral images. Change Detection (CD) is the process of identifying and examining temporal and spectral changes in… (more)

Subjects/Keywords: change detection; hyperspectral

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APA (6th Edition):

Vongsy, K. M. (2007). CHANGE DETECTION METHODS FOR HYPERSPECTRAL IMAGERY. (Masters Thesis). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1184010751

Chicago Manual of Style (16th Edition):

Vongsy, Karmon Marie. “CHANGE DETECTION METHODS FOR HYPERSPECTRAL IMAGERY.” 2007. Masters Thesis, Wright State University. Accessed June 04, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1184010751.

MLA Handbook (7th Edition):

Vongsy, Karmon Marie. “CHANGE DETECTION METHODS FOR HYPERSPECTRAL IMAGERY.” 2007. Web. 04 Jun 2020.

Vancouver:

Vongsy KM. CHANGE DETECTION METHODS FOR HYPERSPECTRAL IMAGERY. [Internet] [Masters thesis]. Wright State University; 2007. [cited 2020 Jun 04]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1184010751.

Council of Science Editors:

Vongsy KM. CHANGE DETECTION METHODS FOR HYPERSPECTRAL IMAGERY. [Masters Thesis]. Wright State University; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1184010751


University of Houston

5. Zhou, Xiong. Semi-Supervised and Deep Learning in Optimal Subspaces for Classification of Disparate Hyperspectral Data.

Degree: PhD, Electrical Engineering, 2017, University of Houston

 Recent developments in remote sensing allow us to acquire enormous quantities of data via ground-based, airborne, and spaceborne platforms. Hyperspectral imagery (HSI) is a special… (more)

Subjects/Keywords: Hyperspectral imaging; Classification

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APA (6th Edition):

Zhou, X. (2017). Semi-Supervised and Deep Learning in Optimal Subspaces for Classification of Disparate Hyperspectral Data. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/4831

Chicago Manual of Style (16th Edition):

Zhou, Xiong. “Semi-Supervised and Deep Learning in Optimal Subspaces for Classification of Disparate Hyperspectral Data.” 2017. Doctoral Dissertation, University of Houston. Accessed June 04, 2020. http://hdl.handle.net/10657/4831.

MLA Handbook (7th Edition):

Zhou, Xiong. “Semi-Supervised and Deep Learning in Optimal Subspaces for Classification of Disparate Hyperspectral Data.” 2017. Web. 04 Jun 2020.

Vancouver:

Zhou X. Semi-Supervised and Deep Learning in Optimal Subspaces for Classification of Disparate Hyperspectral Data. [Internet] [Doctoral dissertation]. University of Houston; 2017. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/10657/4831.

Council of Science Editors:

Zhou X. Semi-Supervised and Deep Learning in Optimal Subspaces for Classification of Disparate Hyperspectral Data. [Doctoral Dissertation]. University of Houston; 2017. Available from: http://hdl.handle.net/10657/4831

6. Nakhostin, Sina. Contributions to Hyperspectral Unmixing : Contribution au démélange hyperspectral.

Degree: Docteur es, Stic, 2017, Lorient

Le démelangeage spectral est un domaine de recherche actif qui trouve des applications dans des domaines variés comme la télédétection, le traitement des signaux audio… (more)

Subjects/Keywords: Démélange hyperspectral; Détection d'une anomalie; Apprentissage automatique; Hyperspectral images; Hyperspectral Unmixing; 621.367

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APA (6th Edition):

Nakhostin, S. (2017). Contributions to Hyperspectral Unmixing : Contribution au démélange hyperspectral. (Doctoral Dissertation). Lorient. Retrieved from http://www.theses.fr/2017LORIS477

Chicago Manual of Style (16th Edition):

Nakhostin, Sina. “Contributions to Hyperspectral Unmixing : Contribution au démélange hyperspectral.” 2017. Doctoral Dissertation, Lorient. Accessed June 04, 2020. http://www.theses.fr/2017LORIS477.

MLA Handbook (7th Edition):

Nakhostin, Sina. “Contributions to Hyperspectral Unmixing : Contribution au démélange hyperspectral.” 2017. Web. 04 Jun 2020.

Vancouver:

Nakhostin S. Contributions to Hyperspectral Unmixing : Contribution au démélange hyperspectral. [Internet] [Doctoral dissertation]. Lorient; 2017. [cited 2020 Jun 04]. Available from: http://www.theses.fr/2017LORIS477.

Council of Science Editors:

Nakhostin S. Contributions to Hyperspectral Unmixing : Contribution au démélange hyperspectral. [Doctoral Dissertation]. Lorient; 2017. Available from: http://www.theses.fr/2017LORIS477


University of Tasmania

7. Davie, A. Benthic habitat mapping by autonomous underwater vehicles.

Degree: 2013, University of Tasmania

 This work presents a functional system for performing unsupervised classification and mapping of benthic habitats using an autonomous underwater vehicle. Traditionally, tne-scale underwater mapping has… (more)

Subjects/Keywords: hyperspectral; AUV; unmix; mapping; robotic

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APA (6th Edition):

Davie, A. (2013). Benthic habitat mapping by autonomous underwater vehicles. (Thesis). University of Tasmania. Retrieved from https://eprints.utas.edu.au/17502/1/Whole-Davie-_thesis.pdf

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):

Davie, A. “Benthic habitat mapping by autonomous underwater vehicles.” 2013. Thesis, University of Tasmania. Accessed June 04, 2020. https://eprints.utas.edu.au/17502/1/Whole-Davie-_thesis.pdf.

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

MLA Handbook (7th Edition):

Davie, A. “Benthic habitat mapping by autonomous underwater vehicles.” 2013. Web. 04 Jun 2020.

Vancouver:

Davie A. Benthic habitat mapping by autonomous underwater vehicles. [Internet] [Thesis]. University of Tasmania; 2013. [cited 2020 Jun 04]. Available from: https://eprints.utas.edu.au/17502/1/Whole-Davie-_thesis.pdf.

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

Council of Science Editors:

Davie A. Benthic habitat mapping by autonomous underwater vehicles. [Thesis]. University of Tasmania; 2013. Available from: https://eprints.utas.edu.au/17502/1/Whole-Davie-_thesis.pdf

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


Rochester Institute of Technology

8. Lewis, Ryan H. Topological & network theoretic approaches in hyperspectral remote sensing.

Degree: 2010, Rochester Institute of Technology

Hyperspectral remote sensing is a valuable new technology that has numerous com- mercial and scientific applications. For example, it has been used to study crop… (more)

Subjects/Keywords: Homology; Hyperspectral; Network; Nonlinear; Topology

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APA (6th Edition):

Lewis, R. H. (2010). Topological & network theoretic approaches in hyperspectral remote sensing. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/4491

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):

Lewis, Ryan H. “Topological & network theoretic approaches in hyperspectral remote sensing.” 2010. Thesis, Rochester Institute of Technology. Accessed June 04, 2020. https://scholarworks.rit.edu/theses/4491.

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

MLA Handbook (7th Edition):

Lewis, Ryan H. “Topological & network theoretic approaches in hyperspectral remote sensing.” 2010. Web. 04 Jun 2020.

Vancouver:

Lewis RH. Topological & network theoretic approaches in hyperspectral remote sensing. [Internet] [Thesis]. Rochester Institute of Technology; 2010. [cited 2020 Jun 04]. Available from: https://scholarworks.rit.edu/theses/4491.

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

Council of Science Editors:

Lewis RH. Topological & network theoretic approaches in hyperspectral remote sensing. [Thesis]. Rochester Institute of Technology; 2010. Available from: https://scholarworks.rit.edu/theses/4491

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


McMaster University

9. ABDLATY, RAMY. HYPERSPECTRAL IMAGING AND DATA ANALYSIS OF SKIN ERYTHEMA POST RADIATION THERAPY TREATMENT.

Degree: PhD, 2016, McMaster University

I DEVELOPED A NEW HIGH THROUGHPUT DUAL CHANNEL HYPERSPECTRAL IMAGING CONFIGURATION BASED ON ACOUSTO-OPTIC TUNABLE FILTER. THE DEVELOPED IMAGING SYSTEM WAS CHARACTERIZED AND EVALUATED IN… (more)

Subjects/Keywords: HYPERSPECTRAL IMAGING; SKIN ERYTHEMA

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APA (6th Edition):

ABDLATY, R. (2016). HYPERSPECTRAL IMAGING AND DATA ANALYSIS OF SKIN ERYTHEMA POST RADIATION THERAPY TREATMENT. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/20765

Chicago Manual of Style (16th Edition):

ABDLATY, RAMY. “HYPERSPECTRAL IMAGING AND DATA ANALYSIS OF SKIN ERYTHEMA POST RADIATION THERAPY TREATMENT.” 2016. Doctoral Dissertation, McMaster University. Accessed June 04, 2020. http://hdl.handle.net/11375/20765.

MLA Handbook (7th Edition):

ABDLATY, RAMY. “HYPERSPECTRAL IMAGING AND DATA ANALYSIS OF SKIN ERYTHEMA POST RADIATION THERAPY TREATMENT.” 2016. Web. 04 Jun 2020.

Vancouver:

ABDLATY R. HYPERSPECTRAL IMAGING AND DATA ANALYSIS OF SKIN ERYTHEMA POST RADIATION THERAPY TREATMENT. [Internet] [Doctoral dissertation]. McMaster University; 2016. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/11375/20765.

Council of Science Editors:

ABDLATY R. HYPERSPECTRAL IMAGING AND DATA ANALYSIS OF SKIN ERYTHEMA POST RADIATION THERAPY TREATMENT. [Doctoral Dissertation]. McMaster University; 2016. Available from: http://hdl.handle.net/11375/20765


Virginia Tech

10. Koehn, Tabitha. A Hyperspectral Imager for a Cubesat to Identify Ocean Ship Parameters.

Degree: MS, Electrical and Computer Engineering, 2017, Virginia Tech

 A Hyperspectral imager aboard a cubesat would be able to provide images which could be used to identify ships and determine the ship's length and… (more)

Subjects/Keywords: Hyperspectral Imagery; Ship Detection; Instrumentation

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APA (6th Edition):

Koehn, T. (2017). A Hyperspectral Imager for a Cubesat to Identify Ocean Ship Parameters. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78880

Chicago Manual of Style (16th Edition):

Koehn, Tabitha. “A Hyperspectral Imager for a Cubesat to Identify Ocean Ship Parameters.” 2017. Masters Thesis, Virginia Tech. Accessed June 04, 2020. http://hdl.handle.net/10919/78880.

MLA Handbook (7th Edition):

Koehn, Tabitha. “A Hyperspectral Imager for a Cubesat to Identify Ocean Ship Parameters.” 2017. Web. 04 Jun 2020.

Vancouver:

Koehn T. A Hyperspectral Imager for a Cubesat to Identify Ocean Ship Parameters. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/10919/78880.

Council of Science Editors:

Koehn T. A Hyperspectral Imager for a Cubesat to Identify Ocean Ship Parameters. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78880


King Abdullah University of Science and Technology

11. Swanson, Robin J. Sparse Representations of Hyperspectral Images.

Degree: 2015, King Abdullah University of Science and Technology

Hyperspectral image data has long been an important tool for many areas of sci- ence. The addition of spectral data yields significant improvements in areas… (more)

Subjects/Keywords: hyperspectral; sparse; compressive; sensing

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APA (6th Edition):

Swanson, R. J. (2015). Sparse Representations of Hyperspectral Images. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/583304

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):

Swanson, Robin J. “Sparse Representations of Hyperspectral Images.” 2015. Thesis, King Abdullah University of Science and Technology. Accessed June 04, 2020. http://hdl.handle.net/10754/583304.

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

MLA Handbook (7th Edition):

Swanson, Robin J. “Sparse Representations of Hyperspectral Images.” 2015. Web. 04 Jun 2020.

Vancouver:

Swanson RJ. Sparse Representations of Hyperspectral Images. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2015. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/10754/583304.

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

Council of Science Editors:

Swanson RJ. Sparse Representations of Hyperspectral Images. [Thesis]. King Abdullah University of Science and Technology; 2015. Available from: http://hdl.handle.net/10754/583304

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


Mississippi State University

12. Raksuntorn, Nareenart. UNSUPERVISED SPECTRAL MIXTURE ANALYSIS FOR HYPERSPECTRAL IMAGERY.

Degree: PhD, Electrical and Computer Engineering, 2009, Mississippi State University

 The objective of this dissertation is to investigate all the necessary components in spectral mixture analysis (SMA) for hyperspectral imagery under an unsupervised circumstance. When… (more)

Subjects/Keywords: Hyperspectral imagery; Spectral mixture analysis

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APA (6th Edition):

Raksuntorn, N. (2009). UNSUPERVISED SPECTRAL MIXTURE ANALYSIS FOR HYPERSPECTRAL IMAGERY. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-04192009-142516/ ;

Chicago Manual of Style (16th Edition):

Raksuntorn, Nareenart. “UNSUPERVISED SPECTRAL MIXTURE ANALYSIS FOR HYPERSPECTRAL IMAGERY.” 2009. Doctoral Dissertation, Mississippi State University. Accessed June 04, 2020. http://sun.library.msstate.edu/ETD-db/theses/available/etd-04192009-142516/ ;.

MLA Handbook (7th Edition):

Raksuntorn, Nareenart. “UNSUPERVISED SPECTRAL MIXTURE ANALYSIS FOR HYPERSPECTRAL IMAGERY.” 2009. Web. 04 Jun 2020.

Vancouver:

Raksuntorn N. UNSUPERVISED SPECTRAL MIXTURE ANALYSIS FOR HYPERSPECTRAL IMAGERY. [Internet] [Doctoral dissertation]. Mississippi State University; 2009. [cited 2020 Jun 04]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04192009-142516/ ;.

Council of Science Editors:

Raksuntorn N. UNSUPERVISED SPECTRAL MIXTURE ANALYSIS FOR HYPERSPECTRAL IMAGERY. [Doctoral Dissertation]. Mississippi State University; 2009. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04192009-142516/ ;


Mississippi State University

13. Kalluri, Hemanth Reddy. FUSION OF SPECTRAL REFLECTANCE AND DERIVATIVE INFORMATION FOR ROBUST HYPERSPECTRAL LAND COVER CLASSIFICATION.

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

 Developments in sensor technology have made high resolution hyperspectral remote sensing data available to the remote sensing analyst for ground cover classification and target recognition… (more)

Subjects/Keywords: classification; derivatives; Hyperspectral; Adaptive

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APA (6th Edition):

Kalluri, H. R. (2009). FUSION OF SPECTRAL REFLECTANCE AND DERIVATIVE INFORMATION FOR ROBUST HYPERSPECTRAL LAND COVER CLASSIFICATION. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-11062009-124333/ ;

Chicago Manual of Style (16th Edition):

Kalluri, Hemanth Reddy. “FUSION OF SPECTRAL REFLECTANCE AND DERIVATIVE INFORMATION FOR ROBUST HYPERSPECTRAL LAND COVER CLASSIFICATION.” 2009. Masters Thesis, Mississippi State University. Accessed June 04, 2020. http://sun.library.msstate.edu/ETD-db/theses/available/etd-11062009-124333/ ;.

MLA Handbook (7th Edition):

Kalluri, Hemanth Reddy. “FUSION OF SPECTRAL REFLECTANCE AND DERIVATIVE INFORMATION FOR ROBUST HYPERSPECTRAL LAND COVER CLASSIFICATION.” 2009. Web. 04 Jun 2020.

Vancouver:

Kalluri HR. FUSION OF SPECTRAL REFLECTANCE AND DERIVATIVE INFORMATION FOR ROBUST HYPERSPECTRAL LAND COVER CLASSIFICATION. [Internet] [Masters thesis]. Mississippi State University; 2009. [cited 2020 Jun 04]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-11062009-124333/ ;.

Council of Science Editors:

Kalluri HR. FUSION OF SPECTRAL REFLECTANCE AND DERIVATIVE INFORMATION FOR ROBUST HYPERSPECTRAL LAND COVER CLASSIFICATION. [Masters Thesis]. Mississippi State University; 2009. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-11062009-124333/ ;


University of Colorado

14. Kindel, Bruce C. Cloud shortwave spectral radiative properties: Airborne hyperspectral measurements and modeling of irradiance.

Degree: PhD, Atmospheric & Oceanic Sciences, 2010, University of Colorado

  The design, construction, and performance of a solar spectral irradiance system for the National Center for the Atmospheric Research (NCAR) High Performance Instrumented Airborne… (more)

Subjects/Keywords: clouds; hyperspectral; irradiance; Atmospheric Sciences

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APA (6th Edition):

Kindel, B. C. (2010). Cloud shortwave spectral radiative properties: Airborne hyperspectral measurements and modeling of irradiance. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/atoc_gradetds/4

Chicago Manual of Style (16th Edition):

Kindel, Bruce C. “Cloud shortwave spectral radiative properties: Airborne hyperspectral measurements and modeling of irradiance.” 2010. Doctoral Dissertation, University of Colorado. Accessed June 04, 2020. https://scholar.colorado.edu/atoc_gradetds/4.

MLA Handbook (7th Edition):

Kindel, Bruce C. “Cloud shortwave spectral radiative properties: Airborne hyperspectral measurements and modeling of irradiance.” 2010. Web. 04 Jun 2020.

Vancouver:

Kindel BC. Cloud shortwave spectral radiative properties: Airborne hyperspectral measurements and modeling of irradiance. [Internet] [Doctoral dissertation]. University of Colorado; 2010. [cited 2020 Jun 04]. Available from: https://scholar.colorado.edu/atoc_gradetds/4.

Council of Science Editors:

Kindel BC. Cloud shortwave spectral radiative properties: Airborne hyperspectral measurements and modeling of irradiance. [Doctoral Dissertation]. University of Colorado; 2010. Available from: https://scholar.colorado.edu/atoc_gradetds/4


Vanderbilt University

15. Poole, Kristin Marie. Quantitative optical imaging of vascular structure and function in a model of peripheral arterial disease.

Degree: MS, Biomedical Engineering, 2012, Vanderbilt University

 Peripheral arterial disease (PAD) leads to an increased risk of myocardial infarction and stroke, increased mortality, and reduced quality of life. The mouse hind limb… (more)

Subjects/Keywords: hyperspectral imaging; optical coherence tomography

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

APA (6th Edition):

Poole, K. M. (2012). Quantitative optical imaging of vascular structure and function in a model of peripheral arterial disease. (Masters Thesis). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu//available/etd-07202012-162913/ ;

Chicago Manual of Style (16th Edition):

Poole, Kristin Marie. “Quantitative optical imaging of vascular structure and function in a model of peripheral arterial disease.” 2012. Masters Thesis, Vanderbilt University. Accessed June 04, 2020. http://etd.library.vanderbilt.edu//available/etd-07202012-162913/ ;.

MLA Handbook (7th Edition):

Poole, Kristin Marie. “Quantitative optical imaging of vascular structure and function in a model of peripheral arterial disease.” 2012. Web. 04 Jun 2020.

Vancouver:

Poole KM. Quantitative optical imaging of vascular structure and function in a model of peripheral arterial disease. [Internet] [Masters thesis]. Vanderbilt University; 2012. [cited 2020 Jun 04]. Available from: http://etd.library.vanderbilt.edu//available/etd-07202012-162913/ ;.

Council of Science Editors:

Poole KM. Quantitative optical imaging of vascular structure and function in a model of peripheral arterial disease. [Masters Thesis]. Vanderbilt University; 2012. Available from: http://etd.library.vanderbilt.edu//available/etd-07202012-162913/ ;


University of Manitoba

16. Karuppiah, Kannan. Detection of fungal infection in pulses using near infrared (NIR) hyperspectral imaging.

Degree: Biosystems Engineering, 2015, University of Manitoba

 Pulses are a major source of human protein intake nowadays and will continue to be so because of their high protein content. Pulse crops are… (more)

Subjects/Keywords: Hyperspectral imaging; fungal infection; pulses

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APA (6th Edition):

Karuppiah, K. (2015). Detection of fungal infection in pulses using near infrared (NIR) hyperspectral imaging. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/30773

Chicago Manual of Style (16th Edition):

Karuppiah, Kannan. “Detection of fungal infection in pulses using near infrared (NIR) hyperspectral imaging.” 2015. Masters Thesis, University of Manitoba. Accessed June 04, 2020. http://hdl.handle.net/1993/30773.

MLA Handbook (7th Edition):

Karuppiah, Kannan. “Detection of fungal infection in pulses using near infrared (NIR) hyperspectral imaging.” 2015. Web. 04 Jun 2020.

Vancouver:

Karuppiah K. Detection of fungal infection in pulses using near infrared (NIR) hyperspectral imaging. [Internet] [Masters thesis]. University of Manitoba; 2015. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/1993/30773.

Council of Science Editors:

Karuppiah K. Detection of fungal infection in pulses using near infrared (NIR) hyperspectral imaging. [Masters Thesis]. University of Manitoba; 2015. Available from: http://hdl.handle.net/1993/30773


University of Manitoba

17. Sivakumar, Mahesh. Long wavelength near-infrared hyperspectral imaging for classification and quality assessment of bulk samples of wheat from different growing locations and crop years.

Degree: Biosystems Engineering, 2011, University of Manitoba

 A platform technology is identified for grain handling facilities to improve grading and determine non-destructively different quality parameters of wheat. In this study, a near-infrared… (more)

Subjects/Keywords: near-infrared; hyperspectral; wheat; imaging

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APA (6th Edition):

Sivakumar, M. (2011). Long wavelength near-infrared hyperspectral imaging for classification and quality assessment of bulk samples of wheat from different growing locations and crop years. (Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/4816

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):

Sivakumar, Mahesh. “Long wavelength near-infrared hyperspectral imaging for classification and quality assessment of bulk samples of wheat from different growing locations and crop years.” 2011. Thesis, University of Manitoba. Accessed June 04, 2020. http://hdl.handle.net/1993/4816.

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

MLA Handbook (7th Edition):

Sivakumar, Mahesh. “Long wavelength near-infrared hyperspectral imaging for classification and quality assessment of bulk samples of wheat from different growing locations and crop years.” 2011. Web. 04 Jun 2020.

Vancouver:

Sivakumar M. Long wavelength near-infrared hyperspectral imaging for classification and quality assessment of bulk samples of wheat from different growing locations and crop years. [Internet] [Thesis]. University of Manitoba; 2011. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/1993/4816.

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

Council of Science Editors:

Sivakumar M. Long wavelength near-infrared hyperspectral imaging for classification and quality assessment of bulk samples of wheat from different growing locations and crop years. [Thesis]. University of Manitoba; 2011. Available from: http://hdl.handle.net/1993/4816

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


University of New South Wales

18. Zhang, Guangyun. Spectral-spatial based remote sensing image classification.

Degree: Engineering & Information Technology, 2013, University of New South Wales

 Spatial information is important for remote sensing image classification. How to extract spatial information and incorporate it into classification procedure is a challenging issue in… (more)

Subjects/Keywords: hyperspectral; remote sensing; classification

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APA (6th Edition):

Zhang, G. (2013). Spectral-spatial based remote sensing image classification. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52796 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11469/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Zhang, Guangyun. “Spectral-spatial based remote sensing image classification.” 2013. Doctoral Dissertation, University of New South Wales. Accessed June 04, 2020. http://handle.unsw.edu.au/1959.4/52796 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11469/SOURCE01?view=true.

MLA Handbook (7th Edition):

Zhang, Guangyun. “Spectral-spatial based remote sensing image classification.” 2013. Web. 04 Jun 2020.

Vancouver:

Zhang G. Spectral-spatial based remote sensing image classification. [Internet] [Doctoral dissertation]. University of New South Wales; 2013. [cited 2020 Jun 04]. Available from: http://handle.unsw.edu.au/1959.4/52796 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11469/SOURCE01?view=true.

Council of Science Editors:

Zhang G. Spectral-spatial based remote sensing image classification. [Doctoral Dissertation]. University of New South Wales; 2013. Available from: http://handle.unsw.edu.au/1959.4/52796 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11469/SOURCE01?view=true

19. Nguyen, Dinh hoang. Development of an optical system for preclinical molecular imaging of atherothrombosis : Développement d'un système optique pour l'imagerie moléculaire préclinique de l'athérothrombose.

Degree: Docteur es, Physique, 2017, Sorbonne Paris Cité

Dans ce travail de thèse, nous développons des protocoles d'imagerie optique pour l'observation des nanoparticules sur des coupes de tissus afin de relier leur localisation… (more)

Subjects/Keywords: Microscopie hyperspectrale; Hyperspectral microscopy

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APA (6th Edition):

Nguyen, D. h. (2017). Development of an optical system for preclinical molecular imaging of atherothrombosis : Développement d'un système optique pour l'imagerie moléculaire préclinique de l'athérothrombose. (Doctoral Dissertation). Sorbonne Paris Cité. Retrieved from http://www.theses.fr/2017USPCD062

Chicago Manual of Style (16th Edition):

Nguyen, Dinh hoang. “Development of an optical system for preclinical molecular imaging of atherothrombosis : Développement d'un système optique pour l'imagerie moléculaire préclinique de l'athérothrombose.” 2017. Doctoral Dissertation, Sorbonne Paris Cité. Accessed June 04, 2020. http://www.theses.fr/2017USPCD062.

MLA Handbook (7th Edition):

Nguyen, Dinh hoang. “Development of an optical system for preclinical molecular imaging of atherothrombosis : Développement d'un système optique pour l'imagerie moléculaire préclinique de l'athérothrombose.” 2017. Web. 04 Jun 2020.

Vancouver:

Nguyen Dh. Development of an optical system for preclinical molecular imaging of atherothrombosis : Développement d'un système optique pour l'imagerie moléculaire préclinique de l'athérothrombose. [Internet] [Doctoral dissertation]. Sorbonne Paris Cité; 2017. [cited 2020 Jun 04]. Available from: http://www.theses.fr/2017USPCD062.

Council of Science Editors:

Nguyen Dh. Development of an optical system for preclinical molecular imaging of atherothrombosis : Développement d'un système optique pour l'imagerie moléculaire préclinique de l'athérothrombose. [Doctoral Dissertation]. Sorbonne Paris Cité; 2017. Available from: http://www.theses.fr/2017USPCD062


Northeastern University

20. Xu, Jieming. DCT based SPIHT architecture for hyperspectral image data compression.

Degree: MS, Department of Electrical and Computer Engineering, 2016, Northeastern University

 The wavelet transformation is leading and widely used technology in transform coding. Many coding algorithms are designed for this transformation based on its unique structure,… (more)

Subjects/Keywords: compression; DCT; hyperspectral; SPIHT

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APA (6th Edition):

Xu, J. (2016). DCT based SPIHT architecture for hyperspectral image data compression. (Masters Thesis). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20239729

Chicago Manual of Style (16th Edition):

Xu, Jieming. “DCT based SPIHT architecture for hyperspectral image data compression.” 2016. Masters Thesis, Northeastern University. Accessed June 04, 2020. http://hdl.handle.net/2047/D20239729.

MLA Handbook (7th Edition):

Xu, Jieming. “DCT based SPIHT architecture for hyperspectral image data compression.” 2016. Web. 04 Jun 2020.

Vancouver:

Xu J. DCT based SPIHT architecture for hyperspectral image data compression. [Internet] [Masters thesis]. Northeastern University; 2016. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/2047/D20239729.

Council of Science Editors:

Xu J. DCT based SPIHT architecture for hyperspectral image data compression. [Masters Thesis]. Northeastern University; 2016. Available from: http://hdl.handle.net/2047/D20239729


University of Houston

21. Priya, Tanu. Superpixels for Hyperspectral Image Analysis.

Degree: MSin Electrical Engineering, Electrical Engineering, University of Houston

 With rapid development of multi-channel optical imaging sensors, hyperpsectral data has become increasingly popular, necessitating development of algorithms for robust image analysis with such data.… (more)

Subjects/Keywords: Hyperspectral imaging

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APA (6th Edition):

Priya, T. (n.d.). Superpixels for Hyperspectral Image Analysis. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3655

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Priya, Tanu. “Superpixels for Hyperspectral Image Analysis.” Masters Thesis, University of Houston. Accessed June 04, 2020. http://hdl.handle.net/10657/3655.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Priya, Tanu. “Superpixels for Hyperspectral Image Analysis.” Web. 04 Jun 2020.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Priya T. Superpixels for Hyperspectral Image Analysis. [Internet] [Masters thesis]. University of Houston; [cited 2020 Jun 04]. Available from: http://hdl.handle.net/10657/3655.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Priya T. Superpixels for Hyperspectral Image Analysis. [Masters Thesis]. University of Houston; Available from: http://hdl.handle.net/10657/3655

Note: this citation may be lacking information needed for this citation format:
No year of publication.


University of KwaZulu-Natal

22. Adebanjo, Hannah Morenike. Investigation of feature extraction algorithms and techniques for hyperspectral images.

Degree: 2017, University of KwaZulu-Natal

Hyperspectral images (HSIs) are remote-sensed images that are characterized by very high spatial and spectral dimensions and nd applications, for example, in land cover classi… (more)

Subjects/Keywords: Hyperspectral images.; Feature extraction algorithms.

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APA (6th Edition):

Adebanjo, H. M. (2017). Investigation of feature extraction algorithms and techniques for hyperspectral images. (Thesis). University of KwaZulu-Natal. Retrieved from https://researchspace.ukzn.ac.za/handle/10413/16758

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):

Adebanjo, Hannah Morenike. “Investigation of feature extraction algorithms and techniques for hyperspectral images.” 2017. Thesis, University of KwaZulu-Natal. Accessed June 04, 2020. https://researchspace.ukzn.ac.za/handle/10413/16758.

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

MLA Handbook (7th Edition):

Adebanjo, Hannah Morenike. “Investigation of feature extraction algorithms and techniques for hyperspectral images.” 2017. Web. 04 Jun 2020.

Vancouver:

Adebanjo HM. Investigation of feature extraction algorithms and techniques for hyperspectral images. [Internet] [Thesis]. University of KwaZulu-Natal; 2017. [cited 2020 Jun 04]. Available from: https://researchspace.ukzn.ac.za/handle/10413/16758.

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

Council of Science Editors:

Adebanjo HM. Investigation of feature extraction algorithms and techniques for hyperspectral images. [Thesis]. University of KwaZulu-Natal; 2017. Available from: https://researchspace.ukzn.ac.za/handle/10413/16758

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


Rice University

23. Dwight, Jason G. Snapshot Hyperspectral Imaging for Complete Fundus Oximetry.

Degree: PhD, Engineering, 2017, Rice University

 In this work, a snapshot hyperspectral imager capable of tuning its average spectral resolution from 22.7 nm to 13.9 nm in a single integrated form… (more)

Subjects/Keywords: Oximetry; Retina; Snapshot; Hyperspectral; Tunability

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APA (6th Edition):

Dwight, J. G. (2017). Snapshot Hyperspectral Imaging for Complete Fundus Oximetry. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/96157

Chicago Manual of Style (16th Edition):

Dwight, Jason G. “Snapshot Hyperspectral Imaging for Complete Fundus Oximetry.” 2017. Doctoral Dissertation, Rice University. Accessed June 04, 2020. http://hdl.handle.net/1911/96157.

MLA Handbook (7th Edition):

Dwight, Jason G. “Snapshot Hyperspectral Imaging for Complete Fundus Oximetry.” 2017. Web. 04 Jun 2020.

Vancouver:

Dwight JG. Snapshot Hyperspectral Imaging for Complete Fundus Oximetry. [Internet] [Doctoral dissertation]. Rice University; 2017. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/1911/96157.

Council of Science Editors:

Dwight JG. Snapshot Hyperspectral Imaging for Complete Fundus Oximetry. [Doctoral Dissertation]. Rice University; 2017. Available from: http://hdl.handle.net/1911/96157


University of Florida

24. Sheng, Hudanyun. Switchgrass Genotype Classification Using Hyperspectral Imagery.

Degree: MS, Electrical and Computer Engineering, 2019, University of Florida

 The adoption of remote sensing techniques in plant science enables noninvasive or minimally invasive measurement, which is also time and labor saving when compared to… (more)

Subjects/Keywords: classification  – detection  – hyperspectral  – switchgrass

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APA (6th Edition):

Sheng, H. (2019). Switchgrass Genotype Classification Using Hyperspectral Imagery. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0056218

Chicago Manual of Style (16th Edition):

Sheng, Hudanyun. “Switchgrass Genotype Classification Using Hyperspectral Imagery.” 2019. Masters Thesis, University of Florida. Accessed June 04, 2020. https://ufdc.ufl.edu/UFE0056218.

MLA Handbook (7th Edition):

Sheng, Hudanyun. “Switchgrass Genotype Classification Using Hyperspectral Imagery.” 2019. Web. 04 Jun 2020.

Vancouver:

Sheng H. Switchgrass Genotype Classification Using Hyperspectral Imagery. [Internet] [Masters thesis]. University of Florida; 2019. [cited 2020 Jun 04]. Available from: https://ufdc.ufl.edu/UFE0056218.

Council of Science Editors:

Sheng H. Switchgrass Genotype Classification Using Hyperspectral Imagery. [Masters Thesis]. University of Florida; 2019. Available from: https://ufdc.ufl.edu/UFE0056218


University of Houston

25. -8360-2602. Ground-Based Hyperspectral Imaging and Data Analysis for Near-Vertical Outcrop Surfaces.

Degree: PhD, Geology, 2017, University of Houston

 Advances in remote sensing technology have expanded outcrop data collection and analysis capabilities creating new opportunities to carry out geological studies in greater detail. Until… (more)

Subjects/Keywords: Ground-based hyperspectral imaging; Near-vertical outcrop; Imaging spectroscopy; Hyperspectral imaging

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APA (6th Edition):

-8360-2602. (2017). Ground-Based Hyperspectral Imaging and Data Analysis for Near-Vertical Outcrop Surfaces. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/4798

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-8360-2602. “Ground-Based Hyperspectral Imaging and Data Analysis for Near-Vertical Outcrop Surfaces.” 2017. Doctoral Dissertation, University of Houston. Accessed June 04, 2020. http://hdl.handle.net/10657/4798.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-8360-2602. “Ground-Based Hyperspectral Imaging and Data Analysis for Near-Vertical Outcrop Surfaces.” 2017. Web. 04 Jun 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-8360-2602. Ground-Based Hyperspectral Imaging and Data Analysis for Near-Vertical Outcrop Surfaces. [Internet] [Doctoral dissertation]. University of Houston; 2017. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/10657/4798.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-8360-2602. Ground-Based Hyperspectral Imaging and Data Analysis for Near-Vertical Outcrop Surfaces. [Doctoral Dissertation]. University of Houston; 2017. Available from: http://hdl.handle.net/10657/4798

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Victoria

26. Parton, Diana. Assessing field spectroscopic methods for grapevine chlorophyll content estimation.

Degree: Department of Geography, 2016, University of Victoria

 Vancouver Island, British Columbia, is at the northern extent of natural climate zones conducive for grape growing, making vineyards susceptible to any changing weather patterns… (more)

Subjects/Keywords: chlorophyll; grapevine; senescence; spectroscopy; hyperspectral; SPAD; modeling

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APA (6th Edition):

Parton, D. (2016). Assessing field spectroscopic methods for grapevine chlorophyll content estimation. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/7288

Chicago Manual of Style (16th Edition):

Parton, Diana. “Assessing field spectroscopic methods for grapevine chlorophyll content estimation.” 2016. Masters Thesis, University of Victoria. Accessed June 04, 2020. http://hdl.handle.net/1828/7288.

MLA Handbook (7th Edition):

Parton, Diana. “Assessing field spectroscopic methods for grapevine chlorophyll content estimation.” 2016. Web. 04 Jun 2020.

Vancouver:

Parton D. Assessing field spectroscopic methods for grapevine chlorophyll content estimation. [Internet] [Masters thesis]. University of Victoria; 2016. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/1828/7288.

Council of Science Editors:

Parton D. Assessing field spectroscopic methods for grapevine chlorophyll content estimation. [Masters Thesis]. University of Victoria; 2016. Available from: http://hdl.handle.net/1828/7288


University of Victoria

27. MacLeod, Roger. A comparison of airborne and simulated EnMap Hyperspectral Imagery for mapping bedrock classes in the Canadian Arctic.

Degree: Department of Geography, 2017, University of Victoria

 The upcoming launch of the German hyperspectral satellite: Environmental Mapping and Analysis Program (EnMAP) will provide potential for producing improved remotely sensed maps in areas… (more)

Subjects/Keywords: EnMap; Hyperspectral; Remote sensing; Hope Bay; Satellite

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APA (6th Edition):

MacLeod, R. (2017). A comparison of airborne and simulated EnMap Hyperspectral Imagery for mapping bedrock classes in the Canadian Arctic. (Masters Thesis). University of Victoria. Retrieved from https://dspace.library.uvic.ca//handle/1828/8699

Chicago Manual of Style (16th Edition):

MacLeod, Roger. “A comparison of airborne and simulated EnMap Hyperspectral Imagery for mapping bedrock classes in the Canadian Arctic.” 2017. Masters Thesis, University of Victoria. Accessed June 04, 2020. https://dspace.library.uvic.ca//handle/1828/8699.

MLA Handbook (7th Edition):

MacLeod, Roger. “A comparison of airborne and simulated EnMap Hyperspectral Imagery for mapping bedrock classes in the Canadian Arctic.” 2017. Web. 04 Jun 2020.

Vancouver:

MacLeod R. A comparison of airborne and simulated EnMap Hyperspectral Imagery for mapping bedrock classes in the Canadian Arctic. [Internet] [Masters thesis]. University of Victoria; 2017. [cited 2020 Jun 04]. Available from: https://dspace.library.uvic.ca//handle/1828/8699.

Council of Science Editors:

MacLeod R. A comparison of airborne and simulated EnMap Hyperspectral Imagery for mapping bedrock classes in the Canadian Arctic. [Masters Thesis]. University of Victoria; 2017. Available from: https://dspace.library.uvic.ca//handle/1828/8699


University of Utah

28. Coates, Austin Reece. Hyperspectral remote sensing for monitoring species-specific drought impacts in Southern California.

Degree: MS, Geography, 2015, University of Utah

 A drought persisting since the winter of 2011-2012 has resulted in severe impacts on shrublands and forests in southern California, USA. Effects of drought on… (more)

Subjects/Keywords: Drought; Hyperspectral; Species-Specific; Spectral Mixture Analysis

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APA (6th Edition):

Coates, A. R. (2015). Hyperspectral remote sensing for monitoring species-specific drought impacts in Southern California. (Masters Thesis). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4008/rec/1272

Chicago Manual of Style (16th Edition):

Coates, Austin Reece. “Hyperspectral remote sensing for monitoring species-specific drought impacts in Southern California.” 2015. Masters Thesis, University of Utah. Accessed June 04, 2020. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4008/rec/1272.

MLA Handbook (7th Edition):

Coates, Austin Reece. “Hyperspectral remote sensing for monitoring species-specific drought impacts in Southern California.” 2015. Web. 04 Jun 2020.

Vancouver:

Coates AR. Hyperspectral remote sensing for monitoring species-specific drought impacts in Southern California. [Internet] [Masters thesis]. University of Utah; 2015. [cited 2020 Jun 04]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4008/rec/1272.

Council of Science Editors:

Coates AR. Hyperspectral remote sensing for monitoring species-specific drought impacts in Southern California. [Masters Thesis]. University of Utah; 2015. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4008/rec/1272


University of Alberta

29. DeLancey, Evan R. Hyperspectral remote sensing of boreal forest tree diversity at multiple scales.

Degree: MS, Department of Earth and Atmospheric Sciences, 2014, University of Alberta

 This research compared the variability/diversity of spectral information captured with spectrometers at the airborne, field, and leaf level to tree species diversity. Airborne measurements were… (more)

Subjects/Keywords: sensing; biodiversity; boreal; forest; remote; hyperspectral

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APA (6th Edition):

DeLancey, E. R. (2014). Hyperspectral remote sensing of boreal forest tree diversity at multiple scales. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/bv73c1280

Chicago Manual of Style (16th Edition):

DeLancey, Evan R. “Hyperspectral remote sensing of boreal forest tree diversity at multiple scales.” 2014. Masters Thesis, University of Alberta. Accessed June 04, 2020. https://era.library.ualberta.ca/files/bv73c1280.

MLA Handbook (7th Edition):

DeLancey, Evan R. “Hyperspectral remote sensing of boreal forest tree diversity at multiple scales.” 2014. Web. 04 Jun 2020.

Vancouver:

DeLancey ER. Hyperspectral remote sensing of boreal forest tree diversity at multiple scales. [Internet] [Masters thesis]. University of Alberta; 2014. [cited 2020 Jun 04]. Available from: https://era.library.ualberta.ca/files/bv73c1280.

Council of Science Editors:

DeLancey ER. Hyperspectral remote sensing of boreal forest tree diversity at multiple scales. [Masters Thesis]. University of Alberta; 2014. Available from: https://era.library.ualberta.ca/files/bv73c1280


Texas A&M University

30. Kollegala, Revathi. The Robust Classification of Hyperspectral Images Using Adaptive Wavelet Kernel Support Vector Data Description.

Degree: 2012, Texas A&M University

 Detection of targets in hyperspectral images is a specific case of one-class classification. It is particularly relevant in the area of remote sensing and has… (more)

Subjects/Keywords: hyperspectral; classification; support; vector; description; domain; data

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APA (6th Edition):

Kollegala, R. (2012). The Robust Classification of Hyperspectral Images Using Adaptive Wavelet Kernel Support Vector Data Description. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11148

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):

Kollegala, Revathi. “The Robust Classification of Hyperspectral Images Using Adaptive Wavelet Kernel Support Vector Data Description.” 2012. Thesis, Texas A&M University. Accessed June 04, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11148.

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

MLA Handbook (7th Edition):

Kollegala, Revathi. “The Robust Classification of Hyperspectral Images Using Adaptive Wavelet Kernel Support Vector Data Description.” 2012. Web. 04 Jun 2020.

Vancouver:

Kollegala R. The Robust Classification of Hyperspectral Images Using Adaptive Wavelet Kernel Support Vector Data Description. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11148.

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

Council of Science Editors:

Kollegala R. The Robust Classification of Hyperspectral Images Using Adaptive Wavelet Kernel Support Vector Data Description. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11148

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

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