Hyperspectral data processing: algorithm design and analysis
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Bibliographische Detailangaben
1. Verfasser: Chang, Chein-I (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Hoboken, N.J. Wiley-Interscience 2013
Schlagworte:
Beschreibung:Includes bibliographical references and index
"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"--
Beschreibung:xxvii, 1135 p.
ISBN:9781118269756

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