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You searched for subject:(spectral unmixing). Showing records 1 – 30 of 50 total matches.

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University of Adelaide

1. Fisk, Claire Adelaide Charlotte. Calibration and Validation of Remotely Sensed Ground Cover Maps.

Degree: 2020, University of Adelaide

 Calibration and validation is essential in the development of remotely sensed fractional ground cover maps to ensure their reliability and provide users with confidence. Field… (more)

Subjects/Keywords: Calibration; validation; groundcover; fractional cover; spectral unmixing

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

APA (6th Edition):

Fisk, C. A. C. (2020). Calibration and Validation of Remotely Sensed Ground Cover Maps. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/126967

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):

Fisk, Claire Adelaide Charlotte. “Calibration and Validation of Remotely Sensed Ground Cover Maps.” 2020. Thesis, University of Adelaide. Accessed April 16, 2021. http://hdl.handle.net/2440/126967.

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

MLA Handbook (7th Edition):

Fisk, Claire Adelaide Charlotte. “Calibration and Validation of Remotely Sensed Ground Cover Maps.” 2020. Web. 16 Apr 2021.

Vancouver:

Fisk CAC. Calibration and Validation of Remotely Sensed Ground Cover Maps. [Internet] [Thesis]. University of Adelaide; 2020. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/2440/126967.

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

Council of Science Editors:

Fisk CAC. Calibration and Validation of Remotely Sensed Ground Cover Maps. [Thesis]. University of Adelaide; 2020. Available from: http://hdl.handle.net/2440/126967

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


University of Exeter

2. Ike, Felix. Evaluation of the impact of climate and human induced changes on the Nigerian forest using remote sensing.

Degree: PhD, 2015, University of Exeter

 The majority of the impact of climate and human induced changes on forest are related to climate variability and deforestation. Similarly, changes in forest phenology… (more)

Subjects/Keywords: 333.75; Remote Sensing; Deforestation; Nigeria; Phenology; TRMM; Spectral Unmixing

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

APA (6th Edition):

Ike, F. (2015). Evaluation of the impact of climate and human induced changes on the Nigerian forest using remote sensing. (Doctoral Dissertation). University of Exeter. Retrieved from http://hdl.handle.net/10871/22127

Chicago Manual of Style (16th Edition):

Ike, Felix. “Evaluation of the impact of climate and human induced changes on the Nigerian forest using remote sensing.” 2015. Doctoral Dissertation, University of Exeter. Accessed April 16, 2021. http://hdl.handle.net/10871/22127.

MLA Handbook (7th Edition):

Ike, Felix. “Evaluation of the impact of climate and human induced changes on the Nigerian forest using remote sensing.” 2015. Web. 16 Apr 2021.

Vancouver:

Ike F. Evaluation of the impact of climate and human induced changes on the Nigerian forest using remote sensing. [Internet] [Doctoral dissertation]. University of Exeter; 2015. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/10871/22127.

Council of Science Editors:

Ike F. Evaluation of the impact of climate and human induced changes on the Nigerian forest using remote sensing. [Doctoral Dissertation]. University of Exeter; 2015. Available from: http://hdl.handle.net/10871/22127

3. Qu, Ying. Hyperspectral Image Analysis through Unsupervised Deep Learning.

Degree: 2018, University of Tennessee – Knoxville

 Hyperspectral image (HSI) analysis has become an active research area in computer vision field with a wide range of applications. However, in order to yield… (more)

Subjects/Keywords: hyperspectral image; spectral unmixing; pansharpening; anomaly detection; autoencoder; unsupervised deep learning

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APA (6th Edition):

Qu, Y. (2018). Hyperspectral Image Analysis through Unsupervised Deep Learning. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/4870

Chicago Manual of Style (16th Edition):

Qu, Ying. “Hyperspectral Image Analysis through Unsupervised Deep Learning.” 2018. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed April 16, 2021. https://trace.tennessee.edu/utk_graddiss/4870.

MLA Handbook (7th Edition):

Qu, Ying. “Hyperspectral Image Analysis through Unsupervised Deep Learning.” 2018. Web. 16 Apr 2021.

Vancouver:

Qu Y. Hyperspectral Image Analysis through Unsupervised Deep Learning. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2018. [cited 2021 Apr 16]. Available from: https://trace.tennessee.edu/utk_graddiss/4870.

Council of Science Editors:

Qu Y. Hyperspectral Image Analysis through Unsupervised Deep Learning. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2018. Available from: https://trace.tennessee.edu/utk_graddiss/4870


Virginia Tech

4. Manjunatha Bharadwaj, Sandhya. Land Cover Quantification using Autoencoder based Unsupervised Deep Learning.

Degree: MS, Computer Engineering, 2020, Virginia Tech

 This work aims to develop an automated deep learning model for identifying and estimating the composition of the different land covers in a region using… (more)

Subjects/Keywords: Deep Learning; Autoencoder; Land Cover; Hyperspectral Imagery; Spectral Unmixing; Reflectance Spectra

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APA (6th Edition):

Manjunatha Bharadwaj, S. (2020). Land Cover Quantification using Autoencoder based Unsupervised Deep Learning. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/99861

Chicago Manual of Style (16th Edition):

Manjunatha Bharadwaj, Sandhya. “Land Cover Quantification using Autoencoder based Unsupervised Deep Learning.” 2020. Masters Thesis, Virginia Tech. Accessed April 16, 2021. http://hdl.handle.net/10919/99861.

MLA Handbook (7th Edition):

Manjunatha Bharadwaj, Sandhya. “Land Cover Quantification using Autoencoder based Unsupervised Deep Learning.” 2020. Web. 16 Apr 2021.

Vancouver:

Manjunatha Bharadwaj S. Land Cover Quantification using Autoencoder based Unsupervised Deep Learning. [Internet] [Masters thesis]. Virginia Tech; 2020. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/10919/99861.

Council of Science Editors:

Manjunatha Bharadwaj S. Land Cover Quantification using Autoencoder based Unsupervised Deep Learning. [Masters Thesis]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/99861


University of Sydney

5. Bongiorno, Daniel Luciano. Hyperspectral benthic mapping from underwater robotic platforms .

Degree: 2014, University of Sydney

 We live on a planet of vast oceans; 70% of the Earth's surface is covered in water. They are integral to supporting life, providing 99%… (more)

Subjects/Keywords: hyperspectral; AUV; underwater; colour correction; colour; spectral unmixing; benthic; mapping

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APA (6th Edition):

Bongiorno, D. L. (2014). Hyperspectral benthic mapping from underwater robotic platforms . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/13024

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):

Bongiorno, Daniel Luciano. “Hyperspectral benthic mapping from underwater robotic platforms .” 2014. Thesis, University of Sydney. Accessed April 16, 2021. http://hdl.handle.net/2123/13024.

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

MLA Handbook (7th Edition):

Bongiorno, Daniel Luciano. “Hyperspectral benthic mapping from underwater robotic platforms .” 2014. Web. 16 Apr 2021.

Vancouver:

Bongiorno DL. Hyperspectral benthic mapping from underwater robotic platforms . [Internet] [Thesis]. University of Sydney; 2014. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/2123/13024.

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

Council of Science Editors:

Bongiorno DL. Hyperspectral benthic mapping from underwater robotic platforms . [Thesis]. University of Sydney; 2014. Available from: http://hdl.handle.net/2123/13024

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


University of Sydney

6. Uezato, Tatsumi. Unmixing of hyperspectral data by incorporating spectral variability and spatial information .

Degree: 2016, University of Sydney

Spectral unmixing enables quantitative information on the abundances of cover types to be estimated within each image pixel. Although many spectral unmixing methods have been… (more)

Subjects/Keywords: Hyperspectral imagery; spectral unmixing; endmember; image processing; machine learning

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APA (6th Edition):

Uezato, T. (2016). Unmixing of hyperspectral data by incorporating spectral variability and spatial information . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/15929

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):

Uezato, Tatsumi. “Unmixing of hyperspectral data by incorporating spectral variability and spatial information .” 2016. Thesis, University of Sydney. Accessed April 16, 2021. http://hdl.handle.net/2123/15929.

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

MLA Handbook (7th Edition):

Uezato, Tatsumi. “Unmixing of hyperspectral data by incorporating spectral variability and spatial information .” 2016. Web. 16 Apr 2021.

Vancouver:

Uezato T. Unmixing of hyperspectral data by incorporating spectral variability and spatial information . [Internet] [Thesis]. University of Sydney; 2016. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/2123/15929.

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

Council of Science Editors:

Uezato T. Unmixing of hyperspectral data by incorporating spectral variability and spatial information . [Thesis]. University of Sydney; 2016. Available from: http://hdl.handle.net/2123/15929

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


Universidad de Extremadura

7. Martín Hernández, Gabriel. Diseño e implementación eficiente de nuevos métodos de preprocesado espacial para desmezclado de imágenes hiperespectrales de la superficie terrestre .

Degree: 2013, Universidad de Extremadura

 La principal contribución del presente trabajo de tesis doctoral viene dada por la propuesta e implementación de nuevas técnicas de análisis hiperespectral capaces de incorporar… (more)

Subjects/Keywords: Análisis hiperespectral; Compresión; Desmezclado espectral; Hyperspectral imaging; Compressive sensing; Spectral unmixing

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APA (6th Edition):

Martín Hernández, G. (2013). Diseño e implementación eficiente de nuevos métodos de preprocesado espacial para desmezclado de imágenes hiperespectrales de la superficie terrestre . (Thesis). Universidad de Extremadura. Retrieved from http://hdl.handle.net/10662/557

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):

Martín Hernández, Gabriel. “Diseño e implementación eficiente de nuevos métodos de preprocesado espacial para desmezclado de imágenes hiperespectrales de la superficie terrestre .” 2013. Thesis, Universidad de Extremadura. Accessed April 16, 2021. http://hdl.handle.net/10662/557.

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

MLA Handbook (7th Edition):

Martín Hernández, Gabriel. “Diseño e implementación eficiente de nuevos métodos de preprocesado espacial para desmezclado de imágenes hiperespectrales de la superficie terrestre .” 2013. Web. 16 Apr 2021.

Vancouver:

Martín Hernández G. Diseño e implementación eficiente de nuevos métodos de preprocesado espacial para desmezclado de imágenes hiperespectrales de la superficie terrestre . [Internet] [Thesis]. Universidad de Extremadura; 2013. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/10662/557.

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

Council of Science Editors:

Martín Hernández G. Diseño e implementación eficiente de nuevos métodos de preprocesado espacial para desmezclado de imágenes hiperespectrales de la superficie terrestre . [Thesis]. Universidad de Extremadura; 2013. Available from: http://hdl.handle.net/10662/557

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


Colorado State University

8. Grabowski, Julia. Logjam attenuation of annual sediment waves in eolian-fluvial environments, North Park, Colorado.

Degree: MS(M.S.), Geosciences, 2020, Colorado State University

 Sediment waves, a term that describes the fluvial transport of a discrete sediment influx, have long been studied in regard to channel response to infrequent,… (more)

Subjects/Keywords: OHV impact; spectral unmixing; sediment wave; eolian-fluvial

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

APA (6th Edition):

Grabowski, J. (2020). Logjam attenuation of annual sediment waves in eolian-fluvial environments, North Park, Colorado. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/211986

Chicago Manual of Style (16th Edition):

Grabowski, Julia. “Logjam attenuation of annual sediment waves in eolian-fluvial environments, North Park, Colorado.” 2020. Masters Thesis, Colorado State University. Accessed April 16, 2021. http://hdl.handle.net/10217/211986.

MLA Handbook (7th Edition):

Grabowski, Julia. “Logjam attenuation of annual sediment waves in eolian-fluvial environments, North Park, Colorado.” 2020. Web. 16 Apr 2021.

Vancouver:

Grabowski J. Logjam attenuation of annual sediment waves in eolian-fluvial environments, North Park, Colorado. [Internet] [Masters thesis]. Colorado State University; 2020. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/10217/211986.

Council of Science Editors:

Grabowski J. Logjam attenuation of annual sediment waves in eolian-fluvial environments, North Park, Colorado. [Masters Thesis]. Colorado State University; 2020. Available from: http://hdl.handle.net/10217/211986

9. ミヤ リズキニヤ. Study on Denoising and Unmixing of Hyperspectral Images Exploiting Spectral Linearity : スペクトルの線形性を考慮したハイパースペクトラル画像のノイズ除去とアンミキシングに関する研究.

Degree: 博士, 2018, The University of Kitakyushu / 北九州市立大学

 This study aims to generalize color line to M-dimensional spectral line feature (M>3) and introduce methods for denoising and unmixing of hyperspectral images based on… (more)

Subjects/Keywords: color line; spectral linearity; hyperspectral image; nuclear norm; denoising; unmixing; local spectral component decomposition

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APA (6th Edition):

ミヤ リズキニヤ. (2018). Study on Denoising and Unmixing of Hyperspectral Images Exploiting Spectral Linearity : スペクトルの線形性を考慮したハイパースペクトラル画像のノイズ除去とアンミキシングに関する研究. (Thesis). The University of Kitakyushu / 北九州市立大学. Retrieved from http://id.nii.ac.jp/1077/00000567/

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

Chicago Manual of Style (16th Edition):

ミヤ リズキニヤ. “Study on Denoising and Unmixing of Hyperspectral Images Exploiting Spectral Linearity : スペクトルの線形性を考慮したハイパースペクトラル画像のノイズ除去とアンミキシングに関する研究.” 2018. Thesis, The University of Kitakyushu / 北九州市立大学. Accessed April 16, 2021. http://id.nii.ac.jp/1077/00000567/.

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

MLA Handbook (7th Edition):

ミヤ リズキニヤ. “Study on Denoising and Unmixing of Hyperspectral Images Exploiting Spectral Linearity : スペクトルの線形性を考慮したハイパースペクトラル画像のノイズ除去とアンミキシングに関する研究.” 2018. Web. 16 Apr 2021.

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

Vancouver:

ミヤ リズキニヤ. Study on Denoising and Unmixing of Hyperspectral Images Exploiting Spectral Linearity : スペクトルの線形性を考慮したハイパースペクトラル画像のノイズ除去とアンミキシングに関する研究. [Internet] [Thesis]. The University of Kitakyushu / 北九州市立大学; 2018. [cited 2021 Apr 16]. Available from: http://id.nii.ac.jp/1077/00000567/.

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

Council of Science Editors:

ミヤ リズキニヤ. Study on Denoising and Unmixing of Hyperspectral Images Exploiting Spectral Linearity : スペクトルの線形性を考慮したハイパースペクトラル画像のノイズ除去とアンミキシングに関する研究. [Thesis]. The University of Kitakyushu / 北九州市立大学; 2018. Available from: http://id.nii.ac.jp/1077/00000567/

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


Université de Sherbrooke

10. Siebels, Kevin. Caractérisation lithologique par fusion évidentielle de résultats de démixage par ratio de bandes voisines et de données géochimiques.

Degree: 2020, Université de Sherbrooke

 Abstract: Mining activity is one of the main sources of raw material used in the industry and is therefore essential for the economic activity of… (more)

Subjects/Keywords: Géologie; Démixage spectral; Télédétection; Fusion de données; Geology; Spectral unmixing; Remote sensing; Data fusion

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APA (6th Edition):

Siebels, K. (2020). Caractérisation lithologique par fusion évidentielle de résultats de démixage par ratio de bandes voisines et de données géochimiques. (Doctoral Dissertation). Université de Sherbrooke. Retrieved from http://hdl.handle.net/11143/16791

Chicago Manual of Style (16th Edition):

Siebels, Kevin. “Caractérisation lithologique par fusion évidentielle de résultats de démixage par ratio de bandes voisines et de données géochimiques.” 2020. Doctoral Dissertation, Université de Sherbrooke. Accessed April 16, 2021. http://hdl.handle.net/11143/16791.

MLA Handbook (7th Edition):

Siebels, Kevin. “Caractérisation lithologique par fusion évidentielle de résultats de démixage par ratio de bandes voisines et de données géochimiques.” 2020. Web. 16 Apr 2021.

Vancouver:

Siebels K. Caractérisation lithologique par fusion évidentielle de résultats de démixage par ratio de bandes voisines et de données géochimiques. [Internet] [Doctoral dissertation]. Université de Sherbrooke; 2020. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11143/16791.

Council of Science Editors:

Siebels K. Caractérisation lithologique par fusion évidentielle de résultats de démixage par ratio de bandes voisines et de données géochimiques. [Doctoral Dissertation]. Université de Sherbrooke; 2020. Available from: http://hdl.handle.net/11143/16791


Rochester Institute of Technology

11. Newland, Daniel. Evaluation of stepwise spectral unmixing with HYDICE data.

Degree: 1999, Rochester Institute of Technology

 Images of ground scenes have a tradeoff between spatial and spectral resolution. Sensors with fine spectral resolution sacrifice high spatial resolution. A hyperspectral image has… (more)

Subjects/Keywords: Hierarchical linear unmixing; Spatial resolution; Spectral resolution; Stepwise unmixing

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APA (6th Edition):

Newland, D. (1999). Evaluation of stepwise spectral unmixing with HYDICE data. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/6765

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):

Newland, Daniel. “Evaluation of stepwise spectral unmixing with HYDICE data.” 1999. Thesis, Rochester Institute of Technology. Accessed April 16, 2021. https://scholarworks.rit.edu/theses/6765.

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

MLA Handbook (7th Edition):

Newland, Daniel. “Evaluation of stepwise spectral unmixing with HYDICE data.” 1999. Web. 16 Apr 2021.

Vancouver:

Newland D. Evaluation of stepwise spectral unmixing with HYDICE data. [Internet] [Thesis]. Rochester Institute of Technology; 1999. [cited 2021 Apr 16]. Available from: https://scholarworks.rit.edu/theses/6765.

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

Council of Science Editors:

Newland D. Evaluation of stepwise spectral unmixing with HYDICE data. [Thesis]. Rochester Institute of Technology; 1999. Available from: https://scholarworks.rit.edu/theses/6765

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


Wright State University

12. Puladas, Charan. Accelerated Hyperspectral Unmixing with Endmember Variability via the Sum-Product Algorithm.

Degree: MSEE, Electrical Engineering, 2016, Wright State University

  The rich spectral information captured by hyperspectral sensors has given rise to a number of remote sensing applications, ranging from vegetative assessment and crop… (more)

Subjects/Keywords: Electrical Engineering; Remote Sensing; Computer Science; Hyperspectral Imaging; Spectral Unmixing; Spectral Estimation; Endmember Variablity; Spectral Correlation; Signal Processing; Machine Learning

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APA (6th Edition):

Puladas, C. (2016). Accelerated Hyperspectral Unmixing with Endmember Variability via the Sum-Product Algorithm. (Masters Thesis). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1464214356

Chicago Manual of Style (16th Edition):

Puladas, Charan. “Accelerated Hyperspectral Unmixing with Endmember Variability via the Sum-Product Algorithm.” 2016. Masters Thesis, Wright State University. Accessed April 16, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=wright1464214356.

MLA Handbook (7th Edition):

Puladas, Charan. “Accelerated Hyperspectral Unmixing with Endmember Variability via the Sum-Product Algorithm.” 2016. Web. 16 Apr 2021.

Vancouver:

Puladas C. Accelerated Hyperspectral Unmixing with Endmember Variability via the Sum-Product Algorithm. [Internet] [Masters thesis]. Wright State University; 2016. [cited 2021 Apr 16]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1464214356.

Council of Science Editors:

Puladas C. Accelerated Hyperspectral Unmixing with Endmember Variability via the Sum-Product Algorithm. [Masters Thesis]. Wright State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1464214356


University of Colorado

13. Wright, Logan Ansel. Hyperspectral Observations for Atmospheric Remote Sensing: Instrumentation, Atmospheric Correction, and Spectral Unmixing.

Degree: PhD, 2018, University of Colorado

  Hyperspectral instruments expand the spectral dimension of remote sensing measurements by collecting data in hundreds of contiguous wavelength channels. Spectrally resolved measurements can be… (more)

Subjects/Keywords: atmospheric correction; hyperspectral; spectral unmixing; aerosol attributed radiance; seafloor depth; Atmospheric Sciences; Remote Sensing

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APA (6th Edition):

Wright, L. A. (2018). Hyperspectral Observations for Atmospheric Remote Sensing: Instrumentation, Atmospheric Correction, and Spectral Unmixing. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/atoc_gradetds/82

Chicago Manual of Style (16th Edition):

Wright, Logan Ansel. “Hyperspectral Observations for Atmospheric Remote Sensing: Instrumentation, Atmospheric Correction, and Spectral Unmixing.” 2018. Doctoral Dissertation, University of Colorado. Accessed April 16, 2021. https://scholar.colorado.edu/atoc_gradetds/82.

MLA Handbook (7th Edition):

Wright, Logan Ansel. “Hyperspectral Observations for Atmospheric Remote Sensing: Instrumentation, Atmospheric Correction, and Spectral Unmixing.” 2018. Web. 16 Apr 2021.

Vancouver:

Wright LA. Hyperspectral Observations for Atmospheric Remote Sensing: Instrumentation, Atmospheric Correction, and Spectral Unmixing. [Internet] [Doctoral dissertation]. University of Colorado; 2018. [cited 2021 Apr 16]. Available from: https://scholar.colorado.edu/atoc_gradetds/82.

Council of Science Editors:

Wright LA. Hyperspectral Observations for Atmospheric Remote Sensing: Instrumentation, Atmospheric Correction, and Spectral Unmixing. [Doctoral Dissertation]. University of Colorado; 2018. Available from: https://scholar.colorado.edu/atoc_gradetds/82


University of New South Wales

14. Sarker, Chandrama. Mixed Pixel Analysis and Assessment for Flood Mapping.

Degree: Engineering & Information Technology, 2014, University of New South Wales

 The most difficult operation in flood inundation mapping using optical flood images is to map the ‘wet’ areas where trees and houses are partly covered… (more)

Subjects/Keywords: Linear Spectral Unmixing; Support Vector Machines; Flood Mapping; Mixed Pixel; Extended Support Vector Machines

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APA (6th Edition):

Sarker, C. (2014). Mixed Pixel Analysis and Assessment for Flood Mapping. (Masters Thesis). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53923 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12633/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Sarker, Chandrama. “Mixed Pixel Analysis and Assessment for Flood Mapping.” 2014. Masters Thesis, University of New South Wales. Accessed April 16, 2021. http://handle.unsw.edu.au/1959.4/53923 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12633/SOURCE02?view=true.

MLA Handbook (7th Edition):

Sarker, Chandrama. “Mixed Pixel Analysis and Assessment for Flood Mapping.” 2014. Web. 16 Apr 2021.

Vancouver:

Sarker C. Mixed Pixel Analysis and Assessment for Flood Mapping. [Internet] [Masters thesis]. University of New South Wales; 2014. [cited 2021 Apr 16]. Available from: http://handle.unsw.edu.au/1959.4/53923 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12633/SOURCE02?view=true.

Council of Science Editors:

Sarker C. Mixed Pixel Analysis and Assessment for Flood Mapping. [Masters Thesis]. University of New South Wales; 2014. Available from: http://handle.unsw.edu.au/1959.4/53923 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12633/SOURCE02?view=true


Arizona State University

15. Janiczek, John. Differentiable Programming for Physics-based Hyperspectral Unmixing.

Degree: Electrical Engineering, 2020, Arizona State University

 Hyperspectral unmixing is an important remote sensing task with applications including material identification and analysis. Characteristic spectral features make many pure materials identifiable from their… (more)

Subjects/Keywords: Remote sensing; Artificial intelligence; Physics; Differentiable Programming; Dispersion Theory; Machine Learning; Spectral Unmixing

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APA (6th Edition):

Janiczek, J. (2020). Differentiable Programming for Physics-based Hyperspectral Unmixing. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/57212

Chicago Manual of Style (16th Edition):

Janiczek, John. “Differentiable Programming for Physics-based Hyperspectral Unmixing.” 2020. Masters Thesis, Arizona State University. Accessed April 16, 2021. http://repository.asu.edu/items/57212.

MLA Handbook (7th Edition):

Janiczek, John. “Differentiable Programming for Physics-based Hyperspectral Unmixing.” 2020. Web. 16 Apr 2021.

Vancouver:

Janiczek J. Differentiable Programming for Physics-based Hyperspectral Unmixing. [Internet] [Masters thesis]. Arizona State University; 2020. [cited 2021 Apr 16]. Available from: http://repository.asu.edu/items/57212.

Council of Science Editors:

Janiczek J. Differentiable Programming for Physics-based Hyperspectral Unmixing. [Masters Thesis]. Arizona State University; 2020. Available from: http://repository.asu.edu/items/57212


Universiteit Utrecht

16. Buzzo, G. Spectrometry for plant species recognition in Mediterranean forest canopies - Spectral separability and image unmixing studied on field and aerial data.

Degree: 2012, Universiteit Utrecht

 Mediterranean-type forests are formed by heterogeneous, dense communities. This condition represents a challenge for plant species discrimination using optical remote sensing. The detection of species… (more)

Subjects/Keywords: Geowetenschappen; Mediterranean forest, Spectral separability, Wilcoxon sum-of-ranks test, Linear spectral unmixing, Mixed endmembers, ASD FieldSpec FR, HyMap

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APA (6th Edition):

Buzzo, G. (2012). Spectrometry for plant species recognition in Mediterranean forest canopies - Spectral separability and image unmixing studied on field and aerial data. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/253898

Chicago Manual of Style (16th Edition):

Buzzo, G. “Spectrometry for plant species recognition in Mediterranean forest canopies - Spectral separability and image unmixing studied on field and aerial data.” 2012. Masters Thesis, Universiteit Utrecht. Accessed April 16, 2021. http://dspace.library.uu.nl:8080/handle/1874/253898.

MLA Handbook (7th Edition):

Buzzo, G. “Spectrometry for plant species recognition in Mediterranean forest canopies - Spectral separability and image unmixing studied on field and aerial data.” 2012. Web. 16 Apr 2021.

Vancouver:

Buzzo G. Spectrometry for plant species recognition in Mediterranean forest canopies - Spectral separability and image unmixing studied on field and aerial data. [Internet] [Masters thesis]. Universiteit Utrecht; 2012. [cited 2021 Apr 16]. Available from: http://dspace.library.uu.nl:8080/handle/1874/253898.

Council of Science Editors:

Buzzo G. Spectrometry for plant species recognition in Mediterranean forest canopies - Spectral separability and image unmixing studied on field and aerial data. [Masters Thesis]. Universiteit Utrecht; 2012. Available from: http://dspace.library.uu.nl:8080/handle/1874/253898


INP Toulouse

17. Altmann, Yoann. Nonlinear unmixing of Hyperspectral images : Démélange non-linéaire d'images hyperspectrales.

Degree: Docteur es, Image, Information, Hypermedia, 2013, INP Toulouse

 Le démélange spectral est un des sujets majeurs de l’analyse d’images hyperspectrales. Ce problème consiste à identifier les composants macroscopiques présents dans une image hyperspectrale… (more)

Subjects/Keywords: Imagerie hyperspectrale; Démélange spectral; Estimation bayésienne; Modèles non-linéaires; Hyperspectral imagery; Spectral unmixing; Bayesian estimation; Nonlinear models

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APA (6th Edition):

Altmann, Y. (2013). Nonlinear unmixing of Hyperspectral images : Démélange non-linéaire d'images hyperspectrales. (Doctoral Dissertation). INP Toulouse. Retrieved from http://www.theses.fr/2013INPT0084

Chicago Manual of Style (16th Edition):

Altmann, Yoann. “Nonlinear unmixing of Hyperspectral images : Démélange non-linéaire d'images hyperspectrales.” 2013. Doctoral Dissertation, INP Toulouse. Accessed April 16, 2021. http://www.theses.fr/2013INPT0084.

MLA Handbook (7th Edition):

Altmann, Yoann. “Nonlinear unmixing of Hyperspectral images : Démélange non-linéaire d'images hyperspectrales.” 2013. Web. 16 Apr 2021.

Vancouver:

Altmann Y. Nonlinear unmixing of Hyperspectral images : Démélange non-linéaire d'images hyperspectrales. [Internet] [Doctoral dissertation]. INP Toulouse; 2013. [cited 2021 Apr 16]. Available from: http://www.theses.fr/2013INPT0084.

Council of Science Editors:

Altmann Y. Nonlinear unmixing of Hyperspectral images : Démélange non-linéaire d'images hyperspectrales. [Doctoral Dissertation]. INP Toulouse; 2013. Available from: http://www.theses.fr/2013INPT0084

18. Masson, Théo. Fusion de données de télédétection haute résolution pour le suivi de la neige : Fusion of high resolution remote sensing data for snow monitoring.

Degree: Docteur es, Signal image parole telecoms, 2018, Université Grenoble Alpes (ComUE)

 Les acquisitions de télédétection ont des caractéristiques complémentaires en termes de résolution spatiale et temporelle et peuvent mesurer différents aspects de la couverture neigeuse (propriétés… (more)

Subjects/Keywords: Télédétection; Neige; Démélange spectral; Fusion de données; Remote sensing; Snow; Spectral unmixing; Data fusion; 004; 620

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APA (6th Edition):

Masson, T. (2018). Fusion de données de télédétection haute résolution pour le suivi de la neige : Fusion of high resolution remote sensing data for snow monitoring. (Doctoral Dissertation). Université Grenoble Alpes (ComUE). Retrieved from http://www.theses.fr/2018GREAT112

Chicago Manual of Style (16th Edition):

Masson, Théo. “Fusion de données de télédétection haute résolution pour le suivi de la neige : Fusion of high resolution remote sensing data for snow monitoring.” 2018. Doctoral Dissertation, Université Grenoble Alpes (ComUE). Accessed April 16, 2021. http://www.theses.fr/2018GREAT112.

MLA Handbook (7th Edition):

Masson, Théo. “Fusion de données de télédétection haute résolution pour le suivi de la neige : Fusion of high resolution remote sensing data for snow monitoring.” 2018. Web. 16 Apr 2021.

Vancouver:

Masson T. Fusion de données de télédétection haute résolution pour le suivi de la neige : Fusion of high resolution remote sensing data for snow monitoring. [Internet] [Doctoral dissertation]. Université Grenoble Alpes (ComUE); 2018. [cited 2021 Apr 16]. Available from: http://www.theses.fr/2018GREAT112.

Council of Science Editors:

Masson T. Fusion de données de télédétection haute résolution pour le suivi de la neige : Fusion of high resolution remote sensing data for snow monitoring. [Doctoral Dissertation]. Université Grenoble Alpes (ComUE); 2018. Available from: http://www.theses.fr/2018GREAT112

19. Drumetz, Lucas. Endmember Variability in hyperspectral image unmixing : Variabilité spectrale dans le démélange d'images hyperspectrales.

Degree: Docteur es, Signal, image, paroles, télécoms, 2016, Université Grenoble Alpes (ComUE)

La finesse de la résolution spectrale des images hyperspectrales en télédétection permet une analyse précise de la scène observée, mais leur résolution spatiale est limitée,… (more)

Subjects/Keywords: Télédétéction Hyperspectrale; Démélange spectral; Variabilité spectrale; Parcimonie; Optimisation convexe; Représentation hiérarchique; Hyperspectral remote sensing; Spectral unmixing; Spectral variability; Sparsity; Convex Optimization; Hierarchical representation; 620

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APA (6th Edition):

Drumetz, L. (2016). Endmember Variability in hyperspectral image unmixing : Variabilité spectrale dans le démélange d'images hyperspectrales. (Doctoral Dissertation). Université Grenoble Alpes (ComUE). Retrieved from http://www.theses.fr/2016GREAT075

Chicago Manual of Style (16th Edition):

Drumetz, Lucas. “Endmember Variability in hyperspectral image unmixing : Variabilité spectrale dans le démélange d'images hyperspectrales.” 2016. Doctoral Dissertation, Université Grenoble Alpes (ComUE). Accessed April 16, 2021. http://www.theses.fr/2016GREAT075.

MLA Handbook (7th Edition):

Drumetz, Lucas. “Endmember Variability in hyperspectral image unmixing : Variabilité spectrale dans le démélange d'images hyperspectrales.” 2016. Web. 16 Apr 2021.

Vancouver:

Drumetz L. Endmember Variability in hyperspectral image unmixing : Variabilité spectrale dans le démélange d'images hyperspectrales. [Internet] [Doctoral dissertation]. Université Grenoble Alpes (ComUE); 2016. [cited 2021 Apr 16]. Available from: http://www.theses.fr/2016GREAT075.

Council of Science Editors:

Drumetz L. Endmember Variability in hyperspectral image unmixing : Variabilité spectrale dans le démélange d'images hyperspectrales. [Doctoral Dissertation]. Université Grenoble Alpes (ComUE); 2016. Available from: http://www.theses.fr/2016GREAT075

20. Esmaeili Salehani, Yaser. Linear Hyperspectral Unmixing Using L0-norm Approximations and Nonnegative Matrix Factorization .

Degree: Electrical and Computer Engineering, 2016, Queens University

Spectral unmixing (SU) is a technique to characterize mixed pixels of the hyperspectral images measured by remote sensors. Most of the existing spectral unmixing algorithms… (more)

Subjects/Keywords: Non-negative matrix factorization ; linear mixing model ; sparse spectral unmixing ; Lp-norm ; Hyperspectral imaging ; Arctan function ; L0-norm

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APA (6th Edition):

Esmaeili Salehani, Y. (2016). Linear Hyperspectral Unmixing Using L0-norm Approximations and Nonnegative Matrix Factorization . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/15072

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):

Esmaeili Salehani, Yaser. “Linear Hyperspectral Unmixing Using L0-norm Approximations and Nonnegative Matrix Factorization .” 2016. Thesis, Queens University. Accessed April 16, 2021. http://hdl.handle.net/1974/15072.

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

MLA Handbook (7th Edition):

Esmaeili Salehani, Yaser. “Linear Hyperspectral Unmixing Using L0-norm Approximations and Nonnegative Matrix Factorization .” 2016. Web. 16 Apr 2021.

Vancouver:

Esmaeili Salehani Y. Linear Hyperspectral Unmixing Using L0-norm Approximations and Nonnegative Matrix Factorization . [Internet] [Thesis]. Queens University; 2016. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1974/15072.

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

Council of Science Editors:

Esmaeili Salehani Y. Linear Hyperspectral Unmixing Using L0-norm Approximations and Nonnegative Matrix Factorization . [Thesis]. Queens University; 2016. Available from: http://hdl.handle.net/1974/15072

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


University of Waikato

21. Allan, Mathew Grant. Remote Sensing of Water Quality in Rotorua and Waikato Lakes .

Degree: 2008, University of Waikato

 Remote sensing has the potential to monitor spatial variation in water quality over large areas. While ocean colour work has developed analytical bio-optical water quality… (more)

Subjects/Keywords: remote sensing; water quality; landsat; linear spectral unmixing

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APA (6th Edition):

Allan, M. G. (2008). Remote Sensing of Water Quality in Rotorua and Waikato Lakes . (Masters Thesis). University of Waikato. Retrieved from http://hdl.handle.net/10289/2292

Chicago Manual of Style (16th Edition):

Allan, Mathew Grant. “Remote Sensing of Water Quality in Rotorua and Waikato Lakes .” 2008. Masters Thesis, University of Waikato. Accessed April 16, 2021. http://hdl.handle.net/10289/2292.

MLA Handbook (7th Edition):

Allan, Mathew Grant. “Remote Sensing of Water Quality in Rotorua and Waikato Lakes .” 2008. Web. 16 Apr 2021.

Vancouver:

Allan MG. Remote Sensing of Water Quality in Rotorua and Waikato Lakes . [Internet] [Masters thesis]. University of Waikato; 2008. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/10289/2292.

Council of Science Editors:

Allan MG. Remote Sensing of Water Quality in Rotorua and Waikato Lakes . [Masters Thesis]. University of Waikato; 2008. Available from: http://hdl.handle.net/10289/2292


University of Western Ontario

22. Feng, Boyu. Tensor-based Hyperspectral Image Processing Methodology and its Applications in Impervious Surface and Land Cover Mapping.

Degree: 2018, University of Western Ontario

 The emergence of hyperspectral imaging provides a new perspective for Earth observation, in addition to previously available orthophoto and multispectral imagery. This thesis focused on… (more)

Subjects/Keywords: Nonnegative matrix factorization; nonnegative tensor factorization; hyperspectral image; spectral unmixing; dimension reduction; Geographic Information Sciences; Remote Sensing

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APA (6th Edition):

Feng, B. (2018). Tensor-based Hyperspectral Image Processing Methodology and its Applications in Impervious Surface and Land Cover Mapping. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/5732

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):

Feng, Boyu. “Tensor-based Hyperspectral Image Processing Methodology and its Applications in Impervious Surface and Land Cover Mapping.” 2018. Thesis, University of Western Ontario. Accessed April 16, 2021. https://ir.lib.uwo.ca/etd/5732.

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

MLA Handbook (7th Edition):

Feng, Boyu. “Tensor-based Hyperspectral Image Processing Methodology and its Applications in Impervious Surface and Land Cover Mapping.” 2018. Web. 16 Apr 2021.

Vancouver:

Feng B. Tensor-based Hyperspectral Image Processing Methodology and its Applications in Impervious Surface and Land Cover Mapping. [Internet] [Thesis]. University of Western Ontario; 2018. [cited 2021 Apr 16]. Available from: https://ir.lib.uwo.ca/etd/5732.

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

Council of Science Editors:

Feng B. Tensor-based Hyperspectral Image Processing Methodology and its Applications in Impervious Surface and Land Cover Mapping. [Thesis]. University of Western Ontario; 2018. Available from: https://ir.lib.uwo.ca/etd/5732

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


Université de Lorraine

23. Henrot, Simon. Déconvolution et séparation d'images hyperspectrales en microscopie : Deconvolution and separation of hyperspectral images : applications to microscopy.

Degree: Docteur es, Automatique, Traitement du Signal et des Images, Génie Informatique, 2013, Université de Lorraine

L'imagerie hyperspectrale consiste à acquérir une scène spatiale à plusieurs longueurs d'onde, e.g. en microscopie. Cependant, lorsque l'image est observée à une résolution suffisamment fine,… (more)

Subjects/Keywords: Image hyperspectrale; Déconvolution; Séparation de sources; Microscopie; Fluorescence; Diffusion Raman; Hyperspectral imaging; Deconvolution; Spectral unmixing; Microscopy; Fluorescence; Raman diffusion; 621.367

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APA (6th Edition):

Henrot, S. (2013). Déconvolution et séparation d'images hyperspectrales en microscopie : Deconvolution and separation of hyperspectral images : applications to microscopy. (Doctoral Dissertation). Université de Lorraine. Retrieved from http://www.theses.fr/2013LORR0187

Chicago Manual of Style (16th Edition):

Henrot, Simon. “Déconvolution et séparation d'images hyperspectrales en microscopie : Deconvolution and separation of hyperspectral images : applications to microscopy.” 2013. Doctoral Dissertation, Université de Lorraine. Accessed April 16, 2021. http://www.theses.fr/2013LORR0187.

MLA Handbook (7th Edition):

Henrot, Simon. “Déconvolution et séparation d'images hyperspectrales en microscopie : Deconvolution and separation of hyperspectral images : applications to microscopy.” 2013. Web. 16 Apr 2021.

Vancouver:

Henrot S. Déconvolution et séparation d'images hyperspectrales en microscopie : Deconvolution and separation of hyperspectral images : applications to microscopy. [Internet] [Doctoral dissertation]. Université de Lorraine; 2013. [cited 2021 Apr 16]. Available from: http://www.theses.fr/2013LORR0187.

Council of Science Editors:

Henrot S. Déconvolution et séparation d'images hyperspectrales en microscopie : Deconvolution and separation of hyperspectral images : applications to microscopy. [Doctoral Dissertation]. Université de Lorraine; 2013. Available from: http://www.theses.fr/2013LORR0187

24. Andreou, Charoula. Development of spectral unmixing methods for hypersectral data exploitation.

Degree: 2014, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ)

 7.4 ΠΕΡΙΛΗΨΗ (ξενόγλωσση)Hyperspectral sensors provide high spectral resolution which contributes to material identification.However, due to low spatial resolution, pixels may contain a mixture of more… (more)

Subjects/Keywords: Υπερφασματική τηλεπισκόπηση; Φασματικός διαχωρισμός; Μείωση της διάστασης; Εξαγωγή καθαρών φασματικών στόχων; Hyperspectral image; Remote sensing; Spectral unmixing; Dimensionality reduction; Endmember extraction

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APA (6th Edition):

Andreou, C. (2014). Development of spectral unmixing methods for hypersectral data exploitation. (Thesis). National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Retrieved from http://hdl.handle.net/10442/hedi/37616

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):

Andreou, Charoula. “Development of spectral unmixing methods for hypersectral data exploitation.” 2014. Thesis, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Accessed April 16, 2021. http://hdl.handle.net/10442/hedi/37616.

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

MLA Handbook (7th Edition):

Andreou, Charoula. “Development of spectral unmixing methods for hypersectral data exploitation.” 2014. Web. 16 Apr 2021.

Vancouver:

Andreou C. Development of spectral unmixing methods for hypersectral data exploitation. [Internet] [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2014. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/10442/hedi/37616.

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

Council of Science Editors:

Andreou C. Development of spectral unmixing methods for hypersectral data exploitation. [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2014. Available from: http://hdl.handle.net/10442/hedi/37616

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


University of Missouri – Columbia

25. Khopkar, Piyush Pradeep. Hyperspectral unmixing and band weighting for multiple endmember sets: Hyperspectral unmixing and band weighting for multiple end member sets.

Degree: 2014, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Imaging spectrometers measure the response from materials across the electromagnetic spectrum. Often, in remote sensing… (more)

Subjects/Keywords: Author supplied: hyperspectral imaging, unmixing, endmember, piecewise convex, clustering, band weighting; Spectral imaging; Convex domains; Cluster analysis

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APA (6th Edition):

Khopkar, P. P. (2014). Hyperspectral unmixing and band weighting for multiple endmember sets: Hyperspectral unmixing and band weighting for multiple end member sets. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/44361

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):

Khopkar, Piyush Pradeep. “Hyperspectral unmixing and band weighting for multiple endmember sets: Hyperspectral unmixing and band weighting for multiple end member sets.” 2014. Thesis, University of Missouri – Columbia. Accessed April 16, 2021. https://doi.org/10.32469/10355/44361.

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

MLA Handbook (7th Edition):

Khopkar, Piyush Pradeep. “Hyperspectral unmixing and band weighting for multiple endmember sets: Hyperspectral unmixing and band weighting for multiple end member sets.” 2014. Web. 16 Apr 2021.

Vancouver:

Khopkar PP. Hyperspectral unmixing and band weighting for multiple endmember sets: Hyperspectral unmixing and band weighting for multiple end member sets. [Internet] [Thesis]. University of Missouri – Columbia; 2014. [cited 2021 Apr 16]. Available from: https://doi.org/10.32469/10355/44361.

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

Council of Science Editors:

Khopkar PP. Hyperspectral unmixing and band weighting for multiple endmember sets: Hyperspectral unmixing and band weighting for multiple end member sets. [Thesis]. University of Missouri – Columbia; 2014. Available from: https://doi.org/10.32469/10355/44361

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

26. Sykas, Dimitrios. Methods and algorithms for hyperspectral data processing.

Degree: 2016, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ)

 Hyperspectral remote sensing and spectroscopy collect and process information from across theelectromagnetic spectrum with the purpose of finding objects, identifying materials, or detectingprocesses. Hyperspectral imaging… (more)

Subjects/Keywords: Τηλεπισκόπηση; Επεξεργασία υπερφασματικής δεδομένων; Φασαμτικός διαχωρισμός; Διαχωρισμός; Φασματοσκοπία; Σχετική ραδιομετρική κανονικοποίηση; Φασματική ταύτιση; Remote sensing; Hyperspectral processing; Spectral unmixing; Spectroscopy; Relative radiometric normalization; Spectral matching

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APA (6th Edition):

Sykas, D. (2016). Methods and algorithms for hyperspectral data processing. (Thesis). National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Retrieved from http://hdl.handle.net/10442/hedi/44469

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):

Sykas, Dimitrios. “Methods and algorithms for hyperspectral data processing.” 2016. Thesis, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Accessed April 16, 2021. http://hdl.handle.net/10442/hedi/44469.

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

MLA Handbook (7th Edition):

Sykas, Dimitrios. “Methods and algorithms for hyperspectral data processing.” 2016. Web. 16 Apr 2021.

Vancouver:

Sykas D. Methods and algorithms for hyperspectral data processing. [Internet] [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2016. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/10442/hedi/44469.

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

Council of Science Editors:

Sykas D. Methods and algorithms for hyperspectral data processing. [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2016. Available from: http://hdl.handle.net/10442/hedi/44469

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

27. Abed, Farhad Moghareh. Pigment Identification of Paintings Based on Kubelka-­‐Munk Theory and Spectral Images.

Degree: PhD, 2014, Rochester Institute of Technology

  The preservation of cultural heritage and treatment thereof are delicate responsibilities that demand the best possible technologies and extreme care to avoid any irreversible… (more)

Subjects/Keywords: Kubelka-Munk; Multispectral imaging; Pigment identification; Spectral characterization; Spectral unmixing

…linear spectral unmixing algorithms for paint mixtures. A… …their knowledge of spectral unmixing, answering my questions, and… …Spectral Unmixing in Remote Sensing… …an applicable workflow for spectral-­‐based pigment identification… …and archiving of artwork. Spectral-­‐based pigment… 

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APA (6th Edition):

Abed, F. M. (2014). Pigment Identification of Paintings Based on Kubelka-­‐Munk Theory and Spectral Images. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/8304

Chicago Manual of Style (16th Edition):

Abed, Farhad Moghareh. “Pigment Identification of Paintings Based on Kubelka-­‐Munk Theory and Spectral Images.” 2014. Doctoral Dissertation, Rochester Institute of Technology. Accessed April 16, 2021. https://scholarworks.rit.edu/theses/8304.

MLA Handbook (7th Edition):

Abed, Farhad Moghareh. “Pigment Identification of Paintings Based on Kubelka-­‐Munk Theory and Spectral Images.” 2014. Web. 16 Apr 2021.

Vancouver:

Abed FM. Pigment Identification of Paintings Based on Kubelka-­‐Munk Theory and Spectral Images. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2014. [cited 2021 Apr 16]. Available from: https://scholarworks.rit.edu/theses/8304.

Council of Science Editors:

Abed FM. Pigment Identification of Paintings Based on Kubelka-­‐Munk Theory and Spectral Images. [Doctoral Dissertation]. Rochester Institute of Technology; 2014. Available from: https://scholarworks.rit.edu/theses/8304

28. Bacher, Raphael. Méthodes pour l'analyse des champs profonds extragalactiques MUSE : démélange et fusion de données hyperspectrales ;détection de sources étendues par inférence à grande échelle : Methods for the analysis of extragalactic MUSE deep fields : hyperspectral unmixing and data fusion;detection of extented sources with large-scale inference.

Degree: Docteur es, Signal image parole telecoms, 2017, Université Grenoble Alpes (ComUE)

Ces travaux se placent dans le contexte de l'étude des champs profonds hyperspectraux produits par l'instrument d'observation céleste MUSE. Ces données permettent de sonder l'Univers… (more)

Subjects/Keywords: Démélange spectral; Fusion de données; Hyperspectral; Inférence à grande échelle; Tests multiples; Contrôle global d'erreurs; Spectral unmixing; Data fusion; Hyperspectral; Large-Scale inference; Multiple testing; Global error control; 620

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APA (6th Edition):

Bacher, R. (2017). Méthodes pour l'analyse des champs profonds extragalactiques MUSE : démélange et fusion de données hyperspectrales ;détection de sources étendues par inférence à grande échelle : Methods for the analysis of extragalactic MUSE deep fields : hyperspectral unmixing and data fusion;detection of extented sources with large-scale inference. (Doctoral Dissertation). Université Grenoble Alpes (ComUE). Retrieved from http://www.theses.fr/2017GREAT067

Chicago Manual of Style (16th Edition):

Bacher, Raphael. “Méthodes pour l'analyse des champs profonds extragalactiques MUSE : démélange et fusion de données hyperspectrales ;détection de sources étendues par inférence à grande échelle : Methods for the analysis of extragalactic MUSE deep fields : hyperspectral unmixing and data fusion;detection of extented sources with large-scale inference.” 2017. Doctoral Dissertation, Université Grenoble Alpes (ComUE). Accessed April 16, 2021. http://www.theses.fr/2017GREAT067.

MLA Handbook (7th Edition):

Bacher, Raphael. “Méthodes pour l'analyse des champs profonds extragalactiques MUSE : démélange et fusion de données hyperspectrales ;détection de sources étendues par inférence à grande échelle : Methods for the analysis of extragalactic MUSE deep fields : hyperspectral unmixing and data fusion;detection of extented sources with large-scale inference.” 2017. Web. 16 Apr 2021.

Vancouver:

Bacher R. Méthodes pour l'analyse des champs profonds extragalactiques MUSE : démélange et fusion de données hyperspectrales ;détection de sources étendues par inférence à grande échelle : Methods for the analysis of extragalactic MUSE deep fields : hyperspectral unmixing and data fusion;detection of extented sources with large-scale inference. [Internet] [Doctoral dissertation]. Université Grenoble Alpes (ComUE); 2017. [cited 2021 Apr 16]. Available from: http://www.theses.fr/2017GREAT067.

Council of Science Editors:

Bacher R. Méthodes pour l'analyse des champs profonds extragalactiques MUSE : démélange et fusion de données hyperspectrales ;détection de sources étendues par inférence à grande échelle : Methods for the analysis of extragalactic MUSE deep fields : hyperspectral unmixing and data fusion;detection of extented sources with large-scale inference. [Doctoral Dissertation]. Université Grenoble Alpes (ComUE); 2017. Available from: http://www.theses.fr/2017GREAT067


Rochester Institute of Technology

29. Hamel, Jason. Simulation of spectra signatures of chemical leachates from landfills.

Degree: 1999, Rochester Institute of Technology

 Chemical leachates from landfills can turn into dangerous hazards if they are not identified and properly disposed. Currently, these chemicals are identified in the laboratory… (more)

Subjects/Keywords: Chemical leachates; Hyperspectral detectors; Landfill; Linear spectral unmixing; Orthogonal subspace projection

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

APA (6th Edition):

Hamel, J. (1999). Simulation of spectra signatures of chemical leachates from landfills. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/6768

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):

Hamel, Jason. “Simulation of spectra signatures of chemical leachates from landfills.” 1999. Thesis, Rochester Institute of Technology. Accessed April 16, 2021. https://scholarworks.rit.edu/theses/6768.

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

MLA Handbook (7th Edition):

Hamel, Jason. “Simulation of spectra signatures of chemical leachates from landfills.” 1999. Web. 16 Apr 2021.

Vancouver:

Hamel J. Simulation of spectra signatures of chemical leachates from landfills. [Internet] [Thesis]. Rochester Institute of Technology; 1999. [cited 2021 Apr 16]. Available from: https://scholarworks.rit.edu/theses/6768.

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

Council of Science Editors:

Hamel J. Simulation of spectra signatures of chemical leachates from landfills. [Thesis]. Rochester Institute of Technology; 1999. Available from: https://scholarworks.rit.edu/theses/6768

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

30. Balasubramanian, Gautam. Towards unsupervised online band selection in hyperspectral imaging.

Degree: 2014, University of Adelaide

 This thesis explores the problem of unsupervised selection of a set of spectral wavebands in a hyperspectral sensor for a surveillance task. Selecting a subset… (more)

Subjects/Keywords: hyperspectral imaging; band selection; spectral unmixing; anomaly detection

…a set of spectral wavebands in a hyperspectral sensor for a surveillance task. Selecting a… …selection enables spectral-band cueing and automation for adaptive focal plane arrays where not… …sampling from a joint Normal-Gamma distribution. Furthermore, natural spectral band variations… …created using USGS spectral database [1] (Chapter 4) and AVIRIS-Cuprite… …x29; indicates the membership of a spectral sample from the r-th band-subset to outlier, Z… 

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APA (6th Edition):

Balasubramanian, G. (2014). Towards unsupervised online band selection in hyperspectral imaging. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/85979

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):

Balasubramanian, Gautam. “Towards unsupervised online band selection in hyperspectral imaging.” 2014. Thesis, University of Adelaide. Accessed April 16, 2021. http://hdl.handle.net/2440/85979.

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

MLA Handbook (7th Edition):

Balasubramanian, Gautam. “Towards unsupervised online band selection in hyperspectral imaging.” 2014. Web. 16 Apr 2021.

Vancouver:

Balasubramanian G. Towards unsupervised online band selection in hyperspectral imaging. [Internet] [Thesis]. University of Adelaide; 2014. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/2440/85979.

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

Council of Science Editors:

Balasubramanian G. Towards unsupervised online band selection in hyperspectral imaging. [Thesis]. University of Adelaide; 2014. Available from: http://hdl.handle.net/2440/85979

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

[1] [2]

.