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Hyperspectral data processingalgorit...
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Chang, Chein-I.
Hyperspectral data processingalgorithm design and analysis /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Hyperspectral data processingChein-I Chang.
其他題名:
algorithm design and analysis /
作者:
Chang, Chein-I.
出版者:
Hoboken, NJ :John Wiley & Sons, Inc.,2013.
面頁冊數:
1 online resource (xxvii, 1135 p.) :ill. (some col.)
標題:
Remote sensing.
電子資源:
http://onlinelibrary.wiley.com/book/10.1002/9781118269787
ISBN:
9781118269787 (electronic bk.)
Hyperspectral data processingalgorithm design and analysis /
Chang, Chein-I.
Hyperspectral data processing
algorithm design and analysis /[electronic resource] :Chein-I Chang. - Hoboken, NJ :John Wiley & Sons, Inc.,2013. - 1 online resource (xxvii, 1135 p.) :ill. (some col.)
Includes bibliographical references (p. 1052-1069) and index.
"Hyperspectral Data Processing: Algorithm Design and Analysis is a culmination of the research conducted in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. Specifically, it treats hyperspectral image processing and hyperspectral signal processing as separate subjects in two different categories. Most materials covered in this book can be used in conjunction with the author's first book, Hyperspectral Imaging: Techniques for Spectral Detection and Classification, without much overlap ... Hyperspectral Data Processing compiles an algorithm compendium with MATLAB codes in an appendix to help readers implement many important algorithms developed in this book and write their own program codes without relying on software packages. Hyperspectral Data Processing is a valuable reference for those who have been involved with hyperspectral imaging and its techniques, as well those who are new to the subject."--
ISBN: 9781118269787 (electronic bk.)Subjects--Topical Terms:
195948
Remote sensing.
LC Class. No.: G70.4 / .C436 2013eb
Dewey Class. No.: 621.3678
Hyperspectral data processingalgorithm design and analysis /
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http://onlinelibrary.wiley.com/book/10.1002/9781118269787
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