Hyperspectral data processing : algorithm design and analysis / / Chein-I Chang.
"This book is intended to be a sequel from the author's other title with Kluwer "Hyperspectral Imaging: Techniques for Spectral Detection and Classification". It contains five major parts. Part I is new aspects of OSP including 7 chapters, OSP revisit, generalized OSP, FPGA desig...
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Year of Publication: | 2013 |
Language: | English |
Online Access: | |
Physical Description: | xxvii, 1135 p. :; ill. |
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Other title: | Hyperspectral imaging. |
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Summary: | "This book is intended to be a sequel from the author's other title with Kluwer "Hyperspectral Imaging: Techniques for Spectral Detection and Classification". It contains five major parts. Part I is new aspects of OSP including 7 chapters, OSP revisit, generalized OSP, FPGA designs for OSP and CEM, Kalman filter-based linear unmixing, least squares fully constrained linear mixture analysis, exploitation-based hyperspectral data compression and size estimation of supixel targets, Part II is interference rejection for linear unmixing composed of three chapters, signal-composed interference-annihilated theory, interference-annihilated noise-adjusted theory and information-processed matched filter theory; Part III is nonlinear non-literal techniques for linear unmixing consisting of 3 chapters, convex cone analysis, information theoretic criterion-based project pursuit and nonlinear mixing model analysis; Part IV is spectral coding comprising of three chapters, progressive spectral coding, spectral binary coding and spectral coding for band selection; Part V is applications made up of two chapters, applications to magnetic resonance imaging and landmine detection"-- |
Bibliography: | Includes bibliographical references and index. |
ISBN: | 9780471690566 (hardback) 9781118269756 (electronic bk.) |
Hierarchical level: | Monograph |
Statement of Responsibility: | Chein-I Chang. |