Hyperspectral data processing algorithm design and analysis /

"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...

Full description

Saved in:
Bibliographic Details
Main Author: Chang, Chein-I
Corporate Author: ebrary, Inc
Format: Electronic eBook
Language:English
Published: Hoboken, N.J. : Wiley-Interscience, 2013.
Subjects:
Online Access:An electronic book accessible through the World Wide Web; click to view
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
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"--
Physical Description:xxvii, 1135 p. : ill.
Bibliography:Includes bibliographical references and index.