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Books on the topic 'Hyperspectral imaging'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 July 2024

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1

Chang, Chein-I. Hyperspectral Imaging. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4419-9170-6.

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2

Aikio, Mauri. Hyperspectral prism-grating-prism imaging spectrograph. Espoo [Finland]: Technical Research Centre of Finland, 2001.

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3

Park, Bosoon, and Renfu Lu, eds. Hyperspectral Imaging Technology in Food and Agriculture. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2836-1.

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4

Sun, Da-Wen. Hyperspectral imaging for food quality analysis and control. London: Academic, 2010.

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5

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

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6

United States. National Aeronautics and Space Administration., ed. Planetary Hyperspectral Imager (PHI): PIDDP, final report. Danbury, CT: Hughes Danbury Optical Systems, 1996.

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7

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

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8

Hans, Grahn, and Geladi Paul, eds. Techniques and applications of hyperspectral image analysis. Chichester, West Sussex, England: J. Wiley, 2007.

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9

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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10

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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11

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

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12

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

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13

Evan, Iverson A., and Shen Sylvia S, eds. Algorithms for multispectral and hyperspectral imagery III: 22-23 April 1997, Orlando, Florida. Bellingham, Wash: SPIE, 1997.

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14

Rubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov, and Kirill Troshin. Remote studies of combustion and explosion processes based on optoelectronic methods. au: AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/monography_62876066a124d8.04785158.

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The main objective of this book is to acquaint the reader with the main modern problems of the multisensor data analysis and opportunities of the hyperspectral shooting being carried out in the wide range of wavelengths from ultraviolet to the infrared range, visualization of the fast combustion processes of flame propagation and flame acceleration, the limit phenomena at flame ignition and propagation. The book can be useful to students of the high courses and scientists dealing with problems of optical spectroscopy, vizualisation, digital recognizing images and gaseous combustion. The main goal of this book is to bring to the attention of the reader the main modern problems of multisensory data analysis and the possibilities of hyperspectral imaging, carried out in a broad wave-length range from ultraviolet to infrared by methods of visualizing fast combustion processes, propagation and flames acceleration, and limiting phenomena during ignition and flame propagation. The book can be useful for students of higher courses and experimental scientists dealing with problems of optical spectroscopy, visualization, pattern recognition and gas combustion.

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15

Hyperspectral Imaging. Elsevier, 2020. http://dx.doi.org/10.1016/c2016-0-04185-2.

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16

Amigo, Jose Manuel. Hyperspectral Imaging. Elsevier, 2019.

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17

Chang. Hyperspectral Imaging. John Wiley & Sons Inc, 2007.

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18

Amigo, Jose Manuel. Hyperspectral Imaging. Elsevier, 2019.

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19

Chang, Chein-I., Meiping Song, Junping Zhang, and Chao-Cheng Wu, eds. Hyperspectral Imaging and Applications. MDPI, 2022. http://dx.doi.org/10.3390/books978-3-03921-523-2.

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20

The Future of Hyperspectral Imaging. MDPI, 2019. http://dx.doi.org/10.3390/books978-3-03921-823-3.

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21

Grant, Jena. Advances in Hyperspectral Imaging Research. Nova Science Publishers, Incorporated, 2014.

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22

Maldonado, Alejandro Isabel Luna, Humberto Rodríguez Fuentes, and Juan Antonio Vidales Contreras, eds. Hyperspectral Imaging in Agriculture, Food and Environment. InTech, 2018. http://dx.doi.org/10.5772/intechopen.70213.

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23

Maldonado, Alejandro Isabel Luna, and Humberto Rodriguez-Fuentes. Hyperspectral Imaging in Agriculture, Food and Environment. IntechOpen, 2018.

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24

Park, Bosoon, and Renfu Lu. Hyperspectral Imaging Technology in Food and Agriculture. Springer, 2015.

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25

Park, Bosoon, and Renfu Lu. Hyperspectral Imaging Technology in Food and Agriculture. Springer, 2016.

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26

Park, Bosoon, and Renfu Lu. Hyperspectral Imaging Technology in Food and Agriculture. Springer London, Limited, 2015.

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27

Hyperspectral Imaging for Food Quality Analysis and Control. Elsevier, 2010. http://dx.doi.org/10.1016/c2009-0-01853-4.

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28

Basantia, N. C., Leo M. L. Nollet, and Mohammed Kamruzzaman, eds. Hyperspectral Imaging Analysis and Applications for Food Quality. CRC Press, 2018. http://dx.doi.org/10.1201/9781315209203.

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29

Chang, Chein-I. Hyperspectral Imaging: Techniques for Spectral Detection and Classification. Springer, 2003.

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30

Hyperspectral Imaging Analysis and Applications for Food Quality. Taylor & Francis Group, 2018.

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31

Kamruzzaman, Mohammed, Leo M. L. Nollet, and N. C. Basantia. Hyperspectral Imaging Analysis and Applications for Food Quality. Taylor & Francis Group, 2018.

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32

Cooley, Thomas, Dimitris Manolakis, and Ronald Lockwood. Hyperspectral Imaging Remote Sensing: Physics, Sensors, and Algorithms. Cambridge University Press, 2016.

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33

Sun, Da-Wen. Hyperspectral Imaging for Food Quality Analysis and Control. Academic Press, 2016.

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34

Manolakis, Dimitris G., Ronald B. Lockwood, and Thomas W. Cooley. Hyperspectral Imaging Remote Sensing: Physics, Sensors, and Algorithms. Cambridge University Press, 2016.

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35

Sun, Da-Wen. Hyperspectral Imaging for Food Quality Analysis and Control. Elsevier Science & Technology Books, 2010.

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36

Chang, Chein-I. Chein-I. Hyperspectral Imaging: Techniques for Spectral Detection and Classification. Springer London, Limited, 2013.

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37

Reconstruction of Chromotomographic Imaging System Infrared Hyperspectral Scenes. Storming Media, 2005.

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38

Cooley, Thomas, Dimitris Manolakis, and Ronald Lockwood. Hyperspectral Imaging Remote Sensing: Physics, Sensors, and Algorithms. Cambridge University Press, 2016.

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39

Kamruzzaman, Mohammed, Leo M. L. Nollet, and N. C. Basantia. Hyperspectral Imaging Analysis and Applications for Food Quality. Taylor & Francis Group, 2018.

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40

Kamruzzaman, Mohammed, Leo M. L. Nollet, and N. C. Basantia. Hyperspectral Imaging Analysis and Applications for Food Quality. Taylor & Francis Group, 2018.

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41

Kamruzzaman, Mohammed, Leo M. L. Nollet, and N. C. Basantia. Hyperspectral Imaging Analysis and Applications for Food Quality. Taylor & Francis Group, 2018.

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42

Bannon, David. Hyperspectral Imaging Sensors: Innovative Applications and Sensor Standards 2017. SPIE, 2018.

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43

Chang, Chein-I. Hyperspectral Data Processing: Algorithm Design and Analysis. Wiley & Sons, Limited, John, 2013.

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44

Qian, Shen-En. Hyperspectral Satellites and System Design. Taylor & Francis Group, 2020.

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45

Hyperspectral Satellites and System Design. Taylor & Francis Group, 2020.

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46

Qian, Shen-En. Hyperspectral Satellites and System Design. Taylor & Francis Group, 2020.

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47

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

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48

Hyperspectral Remote Sensing. CRC, 2004.

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49

Simulating a Chromotomographic Sensor for Hyperspectral Imaging in the Infrared. Storming Media, 2004.

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50

Hyperspectral Imaging for Bottom Type Classification and Water Depth Determination. Storming Media, 2000.

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