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1

Hyperspectral remote sensing. Bellingham, Wash: SPIE, 2012.

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2

Hyperspectral remote sensing of vegetation. Boca Raton: Taylor & Francis, 2012.

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3

1968-, Rajendran S., ed. Hyperspectral remote sensing & spectral signature applications. New Delhi: New India Pub. Agency, 2009.

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4

Borengasser, Marcus. Hyperspectral remote sensing: Principles and applications. Boca Raton: CRC Press, 2008.

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5

Bagheri, Sima. Hyperspectral Remote Sensing of Nearshore Water Quality. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-46949-2.

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6

Pedram, Ghamisi, ed. Spectral-spatial classififcation of hyperspectral remote sensing images. Boston: Artech House, 2015.

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7

S, Chavez Pat, Marino Carlo M, Schowengerdt Robert A, Society of Photo-optical Instrumentation Engineers., and Commission of the European Communities. Directorate-General for Science, Research, and Development., eds. Recent advances in remote sensing and hyperspectral remote sensing: 27-29 September 1994, Rome, Italy. Bellingham, Wash., USA: SPIE, 1994.

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8

S, Shen Sylvia, Society of Photo-optical Instrumentation Engineers., North American Remote Sensing Industries Association., and American Society of Photogrammetry, eds. Hyperspectral remote sensing and applications: 5-6 August 1996. Bellingham, Wash., USA: SPIE, 1996.

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9

Margaret, Kalacska, and Sánchez-Azofeifa Gerardo-Arturo, eds. Hyperspectral remote sensing of tropical and sub-tropical forests. Boca Raton: CRC Press, 2008.

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10

Giovanni, Motta, Rizzo Francesco, and Storer James A. 1953-, eds. Hyperspectral data compression. New York: Springer, 2005.

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11

Sobhan, Md Istiak. Species discrimination from a hyperspectral perspective. Enschede: ITC, 2007.

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12

Mielikaïnen, Jarno. Lossless compression of hyperspectral images. Lappeenranta: Lappeenranta University of Technology, 2003.

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13

Robert, Frouin, Kawamura Hiroshi, Kishino Motoaki, Society of Photo-optical Instrumentation Engineers., and Uchū Kaihatsu Jigyōdan (Japan), eds. Hyperspectral remote sensing of the ocean: 9-11 October, 2000, Sendai, Japan. Bellingham, Wash: SPIE, 2000.

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14

O, Green Robert, Tung Chʻing-hsi 1935-, Society of Photo-optical Instrumentation Engineers., National Center for Atmospheric Research (U.S.). Atmospheric Chemistry Division., and China. Kuo chia kʻo wei., eds. Hyperspectral remote sensing and application: 15-16 September 1998, Beijing, China. Bellingham, Wash., USA: SPIE, 1998.

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15

Darvishzadeh, Roshanak. Hyperspectral remote sensing of vegetation parameters using statistical and physical models. Enschede: ITC, 2008.

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16

1969-, Zhang Bing, and Zheng Lanfen, eds. Gao guang pu yao gan: Yuan li, ji shu yu ying yong = Hyperspectral remote sensing. Beijing Shi: Gao deng jiao yu chu ban she, 2006.

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17

United States. National Aeronautics and Space Administration., ed. Programmable hyperspectral image mapper with on-array processing: [patent application]. [Washington, DC: National Aeronautics and Space Administration, 1992.

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18

United States. National Aeronautics and Space Administration., ed. Programmable hyperspectral image mapper with on-array processing: [patent application]. [Washington, DC: National Aeronautics and Space Administration, 1992.

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19

Hyperspectral imaging: Techniques for spectral detection and classification. New York: Kluwer Academic/Plenum Publishers, 2003.

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20

Chaudhuri, Subhasis. Hyperspectral Image Fusion. New York, NY: Springer New York, 2013.

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21

Monitoring of the biophysical status of vegetation using multi-angular, hyperspectral remote sensing for the optimization of a physically-based SVAT model. Kiel: im Selbstverlag des Geographischen Instituts der Universität Kiel, 2010.

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22

Italy) Hyperspectral Workshop (2010 Frascati. Proceedings of Hyperspectral Workshop 2010: 17-19 March 2010, Frascati, Italy. Noordwijk: ESA Communications, 2010.

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23

Evan, Iverson A., and Society of Photo-optical Instrumentation Engineers., eds. Algorithms for multispectral and hyperspectral imagery: 5 April 1994, Orlando, Florida. Bellingham, Wash., USA: SPIE, 1994.

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24

name, No. Multispectral and hyperspectral remote sensing instruments and applications: 25-27 October, 2002, Hangzhou, China. Bellingham, WA: SPIE, 2003.

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25

L, Smith William, Yasuoka Yoshifumi, Society of Photo-optical Instrumentation Engineers., and Uchū Kaihatsu Jigyōdan (Japan), eds. Hyperspectral remote sensing of the land and atmosphere: 9-12 October 2000, Sendai, Japan. Bellingham, Wash., USA: SPIE, 2001.

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26

1963-, Arora M. K., ed. Advanced image processing techniques for remotely sensed hyperspectral data. Berlin: Springer, 2004.

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27

1935-, Tong Qingxi, and Zhu Yaoting, eds. Multispectral and hyperspectral image acquisition and processing: 22-24 [October] 2001, Wuhan, China. Bellingham, Wash., USA: SPIE, 2001.

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28

Shen, Sylvia S. Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XIV: 17-19 March 2008, Orlando, Florida, USA. Bellingham, Wash: SPIE, 2008.

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29

S, Shen Sylvia, Lewis Paul E, and Society of Photo-optical Instrumentation Engineers., eds. Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery IX: 21-24 April, 2003, Orlando, Florida, USA. Bellingham, Wash: SPIE, 2003.

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30

Shen, Sylvia S., and Paul E. Lewis. Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XVI: 5-8 April 2010, Orlando, Florida, United States. Bellingham, Wash: SPIE, 2010.

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31

Shen, Sylvia S. Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XV: 13-16 April 2009, Orlando, Florida, United States. Edited by SPIE (Society). Bellingham, Wash: SPIE, 2009.

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32

Borengasser, Marcus, William S. Hungate, and Russell Watkins. Hyperspectral Remote Sensing. CRC Press, 2007. http://dx.doi.org/10.1201/9781420012606.

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33

Hyperspectral Remote Sensing. Elsevier, 2020. http://dx.doi.org/10.1016/c2018-0-01850-2.

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34

Eismann, Michael T. Hyperspectral Remote Sensing. SPIE, 2012. http://dx.doi.org/10.1117/3.899758.

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35

Hungate, William S., Russell Watkins, and Borengasser Marcus Hungate William S. Hyperspectral Remote Sensing. Taylor & Francis Group, 2007.

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36

Hyperspectral Remote Sensing. CRC, 2004.

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37

Lyon, John G., Alfredo Huete, and Prasad S. Thenkabail. Hyperspectral Remote Sensing of Vegetation. Taylor & Francis Group, 2016.

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38

Thenkabail, Prasad S., and John G. Lyon, eds. Hyperspectral Remote Sensing of Vegetation. CRC Press, 2016. http://dx.doi.org/10.1201/b11222.

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39

Lyon, John G., Alfredo Huete, and Prasad S. Thenkabail. Hyperspectral Remote Sensing of Vegetation. Taylor & Francis Group, 2011.

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40

Hyperspectral Data Compression. Springer, 2010.

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41

Hyperspectral Image Fusion. Springer-Verlag New York Inc., 2013.

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42

Pu, Ruiliang. Hyperspectral Remote Sensing: Fundamentals and Practices. Taylor & Francis Group, 2017.

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43

Pu, Ruiliang. Hyperspectral Remote Sensing: Fundamentals and Practices. Taylor & Francis Group, 2017.

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44

Hyperspectral Remote Sensing: Fundamentals and Practices. Taylor & Francis Group, 2017.

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45

Borengasser, Marcus, William S. Hungate, and Russell Watkins. Hyperspectral Remote Sensing: Principles and Applications. Taylor & Francis Group, 2007.

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46

Li, Ying, and Yu Wei. Classification of Hyperspectral Remote Sensing Images. Excelic Press LLC, 2018.

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47

Pu, Ruiliang. Hyperspectral Remote Sensing: Fundamentals and Practices. Taylor & Francis Group, 2017.

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48

Pu, Ruiliang. Hyperspectral Remote Sensing: Fundamentals and Practices. Taylor & Francis Group, 2017.

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49

Balzter, Heiko, Prashant K. Srivastava, Prem Chandra Pandey, Bimal Bhattacharya, and George Petropoulos. Hyperspectral Remote Sensing: Theory and Applications. Elsevier, 2020.

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50

Balzter, Heiko, Prashant K. Srivastava, Prem Chandra Pandey, Bimal Bhattacharya, and George Petropoulos. Hyperspectral Remote Sensing: Theory and Applications. Elsevier, 2020.

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