Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery
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Page : 622 pages
File Size : 27,69 MB
Release : 2001
Category : Computer algorithms
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Author :
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Page : 622 pages
File Size : 27,69 MB
Release : 2001
Category : Computer algorithms
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Page : 600 pages
File Size : 47,95 MB
Release : 2001
Category : Image processing
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Author : Michael R. Descour
Publisher : Society of Photo Optical
Page : 534 pages
File Size : 11,13 MB
Release : 2000
Category : Technology & Engineering
ISBN : 9780819436757
Later ed. of: Algorithms for multispectral and hyperspectral imagery.
Author : Sylvia S. Shen
Publisher : Society of Photo Optical
Page : 612 pages
File Size : 38,8 MB
Release : 2002
Category : Technology & Engineering
ISBN : 9780819444752
Previous proceedings titled: Algorithms for multispectral, hyperspectral, and ultraspectral imagery VII.
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Page : 0 pages
File Size : 24,19 MB
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Page : 224 pages
File Size : 36,82 MB
Release : 1999
Category : Computer algorithms
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Page : 804 pages
File Size : 27,38 MB
Release : 2007
Category : Computer algorithms
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Author : Chein-I Chang
Publisher : John Wiley & Sons
Page : 1180 pages
File Size : 26,27 MB
Release : 2013-04-08
Category : Technology & Engineering
ISBN : 0471690562
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. Many results in this book are either new or have not been explored, presented, or published in the public domain. These include various aspects of endmember extraction, unsupervised linear spectral mixture analysis, hyperspectral information compression, hyperspectral signal coding and characterization, as well as applications to conceal target detection, multispectral imaging, and magnetic resonance imaging. Hyperspectral Data Processing contains eight major sections: Part I: provides fundamentals of hyperspectral data processing Part II: offers various algorithm designs for endmember extraction Part III: derives theory for supervised linear spectral mixture analysis Part IV: designs unsupervised methods for hyperspectral image analysis Part V: explores new concepts on hyperspectral information compression Parts VI & VII: develops techniques for hyperspectral signal coding and characterization Part VIII: presents applications in multispectral imaging and magnetic resonance imaging 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.
Author : Miguel Velez-Reyes
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Page : pages
File Size : 15,27 MB
Release : 2017
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ISBN : 9781510608986
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Page : pages
File Size : 24,87 MB
Release : 2012
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