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You searched for subject:(Hyperspectral). Showing records 1 – 30 of 662 total matches.

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University of New South Wales

1. 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 January 22, 2021. 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. 22 Jan 2021.

Vancouver:

Raval S. Investigation of mine environmental monitoring with satellite based sensors. [Internet] [Doctoral dissertation]. University of New South Wales; 2011. [cited 2021 Jan 22]. 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


University of Houston

2. 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 January 22, 2021. 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. 22 Jan 2021.

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 2021 Jan 22]. 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


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 January 22, 2021. 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. 22 Jan 2021.

Vancouver:

Ibrahim I. Illumination invariance and shadow compensation on hyperspectral images. [Internet] [Doctoral dissertation]. Cranfield University; 2014. [cited 2021 Jan 22]. 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

4. 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 January 22, 2021. http://www.theses.fr/2017LORIS477.

MLA Handbook (7th Edition):

Nakhostin, Sina. “Contributions to Hyperspectral Unmixing : Contribution au démélange hyperspectral.” 2017. Web. 22 Jan 2021.

Vancouver:

Nakhostin S. Contributions to Hyperspectral Unmixing : Contribution au démélange hyperspectral. [Internet] [Doctoral dissertation]. Lorient; 2017. [cited 2021 Jan 22]. 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


Mississippi State University

5. Ma, Ben. Improving the performance of hyperspectral target detection.

Degree: PhD, Electrical and Computer Engineering, 2012, Mississippi State University

  This dissertation develops new approaches for improving the performance of hyperspectral target detection. Different aspects of hyperspectral target detection are reviewed and studied to… (more)

Subjects/Keywords: target detection; hyperspectral image analysis

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APA (6th Edition):

Ma, B. (2012). Improving the performance of hyperspectral target detection. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-10302012-170900/ ;

Chicago Manual of Style (16th Edition):

Ma, Ben. “Improving the performance of hyperspectral target detection.” 2012. Doctoral Dissertation, Mississippi State University. Accessed January 22, 2021. http://sun.library.msstate.edu/ETD-db/theses/available/etd-10302012-170900/ ;.

MLA Handbook (7th Edition):

Ma, Ben. “Improving the performance of hyperspectral target detection.” 2012. Web. 22 Jan 2021.

Vancouver:

Ma B. Improving the performance of hyperspectral target detection. [Internet] [Doctoral dissertation]. Mississippi State University; 2012. [cited 2021 Jan 22]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10302012-170900/ ;.

Council of Science Editors:

Ma B. Improving the performance of hyperspectral target detection. [Doctoral Dissertation]. Mississippi State University; 2012. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10302012-170900/ ;


University of Tasmania

6. 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 January 22, 2021. 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. 22 Jan 2021.

Vancouver:

Davie A. Benthic habitat mapping by autonomous underwater vehicles. [Internet] [Thesis]. University of Tasmania; 2013. [cited 2021 Jan 22]. 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


Vanderbilt University

7. 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 (6th Edition):

Poole, K. M. (2012). Quantitative optical imaging of vascular structure and function in a model of peripheral arterial disease. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/13329

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):

Poole, Kristin Marie. “Quantitative optical imaging of vascular structure and function in a model of peripheral arterial disease.” 2012. Thesis, Vanderbilt University. Accessed January 22, 2021. http://hdl.handle.net/1803/13329.

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

MLA Handbook (7th Edition):

Poole, Kristin Marie. “Quantitative optical imaging of vascular structure and function in a model of peripheral arterial disease.” 2012. Web. 22 Jan 2021.

Vancouver:

Poole KM. Quantitative optical imaging of vascular structure and function in a model of peripheral arterial disease. [Internet] [Thesis]. Vanderbilt University; 2012. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/1803/13329.

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

Council of Science Editors:

Poole KM. Quantitative optical imaging of vascular structure and function in a model of peripheral arterial disease. [Thesis]. Vanderbilt University; 2012. Available from: http://hdl.handle.net/1803/13329

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


McMaster University

8. 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 January 22, 2021. 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. 22 Jan 2021.

Vancouver:

ABDLATY R. HYPERSPECTRAL IMAGING AND DATA ANALYSIS OF SKIN ERYTHEMA POST RADIATION THERAPY TREATMENT. [Internet] [Doctoral dissertation]. McMaster University; 2016. [cited 2021 Jan 22]. 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


University of KwaZulu-Natal

9. 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 January 22, 2021. 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. 22 Jan 2021.

Vancouver:

Adebanjo HM. Investigation of feature extraction algorithms and techniques for hyperspectral images. [Internet] [Thesis]. University of KwaZulu-Natal; 2017. [cited 2021 Jan 22]. 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

10. 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 January 22, 2021. 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. 22 Jan 2021.

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 2021 Jan 22]. 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

11. 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 January 22, 2021. http://hdl.handle.net/2047/D20239729.

MLA Handbook (7th Edition):

Xu, Jieming. “DCT based SPIHT architecture for hyperspectral image data compression.” 2016. Web. 22 Jan 2021.

Vancouver:

Xu J. DCT based SPIHT architecture for hyperspectral image data compression. [Internet] [Masters thesis]. Northeastern University; 2016. [cited 2021 Jan 22]. 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

12. 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 January 22, 2021. 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. 22 Jan 2021.

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 2021 Jan 22]. 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 Colorado

13. 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 January 22, 2021. 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. 22 Jan 2021.

Vancouver:

Kindel BC. Cloud shortwave spectral radiative properties: Airborne hyperspectral measurements and modeling of irradiance. [Internet] [Doctoral dissertation]. University of Colorado; 2010. [cited 2021 Jan 22]. 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


University of Manitoba

14. 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 January 22, 2021. 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. 22 Jan 2021.

Vancouver:

Karuppiah K. Detection of fungal infection in pulses using near infrared (NIR) hyperspectral imaging. [Internet] [Masters thesis]. University of Manitoba; 2015. [cited 2021 Jan 22]. 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

15. 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 January 22, 2021. 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. 22 Jan 2021.

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 2021 Jan 22]. 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


Rice University

16. 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 January 22, 2021. http://hdl.handle.net/1911/96157.

MLA Handbook (7th Edition):

Dwight, Jason G. “Snapshot Hyperspectral Imaging for Complete Fundus Oximetry.” 2017. Web. 22 Jan 2021.

Vancouver:

Dwight JG. Snapshot Hyperspectral Imaging for Complete Fundus Oximetry. [Internet] [Doctoral dissertation]. Rice University; 2017. [cited 2021 Jan 22]. 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 Minnesota

17. Tirado, Sara. Characterizing the impact of genetic and environmental variation on maize utilizing phenomic approaches.

Degree: PhD, Applied Plant Sciences, 2020, University of Minnesota

 To gain a better understanding of how genotypic elements interact with the environment, we need to develop more efficient ways of monitoring plant phenotypes so… (more)

Subjects/Keywords: Hyperspectral; Imaging; Maize; Phenotyping; UAV

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APA (6th Edition):

Tirado, S. (2020). Characterizing the impact of genetic and environmental variation on maize utilizing phenomic approaches. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/216817

Chicago Manual of Style (16th Edition):

Tirado, Sara. “Characterizing the impact of genetic and environmental variation on maize utilizing phenomic approaches.” 2020. Doctoral Dissertation, University of Minnesota. Accessed January 22, 2021. http://hdl.handle.net/11299/216817.

MLA Handbook (7th Edition):

Tirado, Sara. “Characterizing the impact of genetic and environmental variation on maize utilizing phenomic approaches.” 2020. Web. 22 Jan 2021.

Vancouver:

Tirado S. Characterizing the impact of genetic and environmental variation on maize utilizing phenomic approaches. [Internet] [Doctoral dissertation]. University of Minnesota; 2020. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/11299/216817.

Council of Science Editors:

Tirado S. Characterizing the impact of genetic and environmental variation on maize utilizing phenomic approaches. [Doctoral Dissertation]. University of Minnesota; 2020. Available from: http://hdl.handle.net/11299/216817


Virginia Tech

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

Degree: MS, Electrical 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 January 22, 2021. 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. 22 Jan 2021.

Vancouver:

Koehn T. A Hyperspectral Imager for a Cubesat to Identify Ocean Ship Parameters. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2021 Jan 22]. 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

19. 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 January 22, 2021. 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. 22 Jan 2021.

Vancouver:

Swanson RJ. Sparse Representations of Hyperspectral Images. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2015. [cited 2021 Jan 22]. 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


University of Houston

20. -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 January 22, 2021. 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. 22 Jan 2021.

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 2021 Jan 22]. 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


Rochester Institute of Technology

21. Busuioceanu, Maria. Analysis of compressive sensing for hyperspectral remote sensing applications.

Degree: Chester F. Carlson Center for Imaging Science (COS), 2013, Rochester Institute of Technology

 Compressive Sensing (CS) systems capture data with fewer measurements than traditional sensors assuming that imagery is redundant and compressible in the spectral and spatial dimensions.… (more)

Subjects/Keywords: Atmospheric compensation; Compressive sensing; Hyperspectral imaging

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APA (6th Edition):

Busuioceanu, M. (2013). Analysis of compressive sensing for hyperspectral remote sensing applications. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/2915

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):

Busuioceanu, Maria. “Analysis of compressive sensing for hyperspectral remote sensing applications.” 2013. Thesis, Rochester Institute of Technology. Accessed January 22, 2021. https://scholarworks.rit.edu/theses/2915.

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

MLA Handbook (7th Edition):

Busuioceanu, Maria. “Analysis of compressive sensing for hyperspectral remote sensing applications.” 2013. Web. 22 Jan 2021.

Vancouver:

Busuioceanu M. Analysis of compressive sensing for hyperspectral remote sensing applications. [Internet] [Thesis]. Rochester Institute of Technology; 2013. [cited 2021 Jan 22]. Available from: https://scholarworks.rit.edu/theses/2915.

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

Council of Science Editors:

Busuioceanu M. Analysis of compressive sensing for hyperspectral remote sensing applications. [Thesis]. Rochester Institute of Technology; 2013. Available from: https://scholarworks.rit.edu/theses/2915

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


Mississippi State University

22. Yang, He. DIMENSIONALITY REDUCTION FOR HYPERSPECTRAL IMAGERY.

Degree: PhD, Electrical and Computer Engineering, 2011, Mississippi State University

 In this dissertation, dimensionality reduction for hyperspectral remote sensing imagery is investigated to alleviate practical application difficulties caused by high data dimension. Band selection and… (more)

Subjects/Keywords: hyperspectral; dimensionality reduction; band selection; gpu

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APA (6th Edition):

Yang, H. (2011). DIMENSIONALITY REDUCTION FOR HYPERSPECTRAL IMAGERY. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-03292011-114424/ ;

Chicago Manual of Style (16th Edition):

Yang, He. “DIMENSIONALITY REDUCTION FOR HYPERSPECTRAL IMAGERY.” 2011. Doctoral Dissertation, Mississippi State University. Accessed January 22, 2021. http://sun.library.msstate.edu/ETD-db/theses/available/etd-03292011-114424/ ;.

MLA Handbook (7th Edition):

Yang, He. “DIMENSIONALITY REDUCTION FOR HYPERSPECTRAL IMAGERY.” 2011. Web. 22 Jan 2021.

Vancouver:

Yang H. DIMENSIONALITY REDUCTION FOR HYPERSPECTRAL IMAGERY. [Internet] [Doctoral dissertation]. Mississippi State University; 2011. [cited 2021 Jan 22]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-03292011-114424/ ;.

Council of Science Editors:

Yang H. DIMENSIONALITY REDUCTION FOR HYPERSPECTRAL IMAGERY. [Doctoral Dissertation]. Mississippi State University; 2011. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-03292011-114424/ ;


Rochester Institute of Technology

23. Yang, Jie. Crime Scene Blood Evidence Detection Using Spectral Imaging.

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

  Blood is the key evidence for forensic investigation because it carries critical information to help reconstruct the crime scene, confirm or exclude a suspect,… (more)

Subjects/Keywords: Bloodstain; Forensic; Hyperspectral; Imaging; Multispectral; Optical system

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APA (6th Edition):

Yang, J. (2019). Crime Scene Blood Evidence Detection Using Spectral Imaging. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10118

Chicago Manual of Style (16th Edition):

Yang, Jie. “Crime Scene Blood Evidence Detection Using Spectral Imaging.” 2019. Doctoral Dissertation, Rochester Institute of Technology. Accessed January 22, 2021. https://scholarworks.rit.edu/theses/10118.

MLA Handbook (7th Edition):

Yang, Jie. “Crime Scene Blood Evidence Detection Using Spectral Imaging.” 2019. Web. 22 Jan 2021.

Vancouver:

Yang J. Crime Scene Blood Evidence Detection Using Spectral Imaging. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2019. [cited 2021 Jan 22]. Available from: https://scholarworks.rit.edu/theses/10118.

Council of Science Editors:

Yang J. Crime Scene Blood Evidence Detection Using Spectral Imaging. [Doctoral Dissertation]. Rochester Institute of Technology; 2019. Available from: https://scholarworks.rit.edu/theses/10118


Rochester Institute of Technology

24. Anderson, Grant W.F. An evaluation of the silicon spectral range for determination of nutrient content of grape vines.

Degree: MS, Chester F. Carlson Center for Imaging Science (COS), 2016, Rochester Institute of Technology

  The grape industry relies on in situ crop assessment to aid in the day-to-day and seasonal management of their crop. In the case of… (more)

Subjects/Keywords: Grape; Hyperspectral; Modeling; Nutrient; Remote sensing; Wine

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APA (6th Edition):

Anderson, G. W. F. (2016). An evaluation of the silicon spectral range for determination of nutrient content of grape vines. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9175

Chicago Manual of Style (16th Edition):

Anderson, Grant W F. “An evaluation of the silicon spectral range for determination of nutrient content of grape vines.” 2016. Masters Thesis, Rochester Institute of Technology. Accessed January 22, 2021. https://scholarworks.rit.edu/theses/9175.

MLA Handbook (7th Edition):

Anderson, Grant W F. “An evaluation of the silicon spectral range for determination of nutrient content of grape vines.” 2016. Web. 22 Jan 2021.

Vancouver:

Anderson GWF. An evaluation of the silicon spectral range for determination of nutrient content of grape vines. [Internet] [Masters thesis]. Rochester Institute of Technology; 2016. [cited 2021 Jan 22]. Available from: https://scholarworks.rit.edu/theses/9175.

Council of Science Editors:

Anderson GWF. An evaluation of the silicon spectral range for determination of nutrient content of grape vines. [Masters Thesis]. Rochester Institute of Technology; 2016. Available from: https://scholarworks.rit.edu/theses/9175


Rochester Institute of Technology

25. Uzkent, Burak. Real-time Aerial Vehicle Detection and Tracking using a Multi-modal Optical Sensor.

Degree: PhD, Chester F. Carlson Center for Imaging Science (COS), 2016, Rochester Institute of Technology

  Vehicle tracking from an aerial platform poses a number of unique challenges including the small number of pixels representing a vehicle, large camera motion,… (more)

Subjects/Keywords: Aerial; Hyperspectral; Optical; Sensor; Tracking; Vehicle

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APA (6th Edition):

Uzkent, B. (2016). Real-time Aerial Vehicle Detection and Tracking using a Multi-modal Optical Sensor. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9242

Chicago Manual of Style (16th Edition):

Uzkent, Burak. “Real-time Aerial Vehicle Detection and Tracking using a Multi-modal Optical Sensor.” 2016. Doctoral Dissertation, Rochester Institute of Technology. Accessed January 22, 2021. https://scholarworks.rit.edu/theses/9242.

MLA Handbook (7th Edition):

Uzkent, Burak. “Real-time Aerial Vehicle Detection and Tracking using a Multi-modal Optical Sensor.” 2016. Web. 22 Jan 2021.

Vancouver:

Uzkent B. Real-time Aerial Vehicle Detection and Tracking using a Multi-modal Optical Sensor. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2016. [cited 2021 Jan 22]. Available from: https://scholarworks.rit.edu/theses/9242.

Council of Science Editors:

Uzkent B. Real-time Aerial Vehicle Detection and Tracking using a Multi-modal Optical Sensor. [Doctoral Dissertation]. Rochester Institute of Technology; 2016. Available from: https://scholarworks.rit.edu/theses/9242


University of Utah

26. 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 January 22, 2021. 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. 22 Jan 2021.

Vancouver:

Coates AR. Hyperspectral remote sensing for monitoring species-specific drought impacts in Southern California. [Internet] [Masters thesis]. University of Utah; 2015. [cited 2021 Jan 22]. 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

27. 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 January 22, 2021. 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. 22 Jan 2021.

Vancouver:

DeLancey ER. Hyperspectral remote sensing of boreal forest tree diversity at multiple scales. [Internet] [Masters thesis]. University of Alberta; 2014. [cited 2021 Jan 22]. 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


Anna University

28. Satish Kumar, J. Ground and image based hyperspectral sensing to characterise carbonate mineral resources of salem namakkal and ariyalur districts south India; -.

Degree: Geology, 2013, Anna University

Mapping of the distribution of fresh and highly altered dunite and newlinethe endproduct magnesite by conventional techniques is time consuming and newlinerequires detailed sampling and… (more)

Subjects/Keywords: Hyperspectral Sensing; Mapping; mineralogy; morphology; sampling

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APA (6th Edition):

Satish Kumar, J. (2013). Ground and image based hyperspectral sensing to characterise carbonate mineral resources of salem namakkal and ariyalur districts south India; -. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/25130

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):

Satish Kumar, J. “Ground and image based hyperspectral sensing to characterise carbonate mineral resources of salem namakkal and ariyalur districts south India; -.” 2013. Thesis, Anna University. Accessed January 22, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/25130.

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

MLA Handbook (7th Edition):

Satish Kumar, J. “Ground and image based hyperspectral sensing to characterise carbonate mineral resources of salem namakkal and ariyalur districts south India; -.” 2013. Web. 22 Jan 2021.

Vancouver:

Satish Kumar J. Ground and image based hyperspectral sensing to characterise carbonate mineral resources of salem namakkal and ariyalur districts south India; -. [Internet] [Thesis]. Anna University; 2013. [cited 2021 Jan 22]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/25130.

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

Council of Science Editors:

Satish Kumar J. Ground and image based hyperspectral sensing to characterise carbonate mineral resources of salem namakkal and ariyalur districts south India; -. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/25130

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


Texas A&M University

29. Arslan, Meryem Damla. Oil Spill Detection and Mapping Along the Gulf of Mexico Coastline Based on Imaging Spectrometer Data.

Degree: MS, Geography, 2013, Texas A&M University

 The Deepwater Horizon oil spill in the Gulf of Mexico between April and July 2010 demonstrated the importance of synoptic oil-spill monitoring in coastal environments… (more)

Subjects/Keywords: oil spill; marsh vegetation; hyperspectral image

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APA (6th Edition):

Arslan, M. D. (2013). Oil Spill Detection and Mapping Along the Gulf of Mexico Coastline Based on Imaging Spectrometer Data. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151741

Chicago Manual of Style (16th Edition):

Arslan, Meryem Damla. “Oil Spill Detection and Mapping Along the Gulf of Mexico Coastline Based on Imaging Spectrometer Data.” 2013. Masters Thesis, Texas A&M University. Accessed January 22, 2021. http://hdl.handle.net/1969.1/151741.

MLA Handbook (7th Edition):

Arslan, Meryem Damla. “Oil Spill Detection and Mapping Along the Gulf of Mexico Coastline Based on Imaging Spectrometer Data.” 2013. Web. 22 Jan 2021.

Vancouver:

Arslan MD. Oil Spill Detection and Mapping Along the Gulf of Mexico Coastline Based on Imaging Spectrometer Data. [Internet] [Masters thesis]. Texas A&M University; 2013. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/1969.1/151741.

Council of Science Editors:

Arslan MD. Oil Spill Detection and Mapping Along the Gulf of Mexico Coastline Based on Imaging Spectrometer Data. [Masters Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151741


Texas A&M University

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

Degree: MS, Electrical Engineering, 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. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11148

Chicago Manual of Style (16th Edition):

Kollegala, Revathi. “The Robust Classification of Hyperspectral Images Using Adaptive Wavelet Kernel Support Vector Data Description.” 2012. Masters Thesis, Texas A&M University. Accessed January 22, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11148.

MLA Handbook (7th Edition):

Kollegala, Revathi. “The Robust Classification of Hyperspectral Images Using Adaptive Wavelet Kernel Support Vector Data Description.” 2012. Web. 22 Jan 2021.

Vancouver:

Kollegala R. The Robust Classification of Hyperspectral Images Using Adaptive Wavelet Kernel Support Vector Data Description. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11148.

Council of Science Editors:

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

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