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Hyperspectral data processing
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eBook
Hyperspectral data processing
2013
Overview
\"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\"--
Publisher
Wiley-Interscience,WILEY,John Wiley & Sons, Incorporated,Wiley-Blackwell,John Wiley & Sons
Subject
ISBN
9780471690566, 9781118269756, 1118269756, 0471690562, 1118269772, 9781118269770, 9781118269787, 1118269780
