Chang, Chein-I.

Hyperspectral data processing algorithm design and analysis / [electronic resource] : Chein-I Chang. - Hoboken, N.J. : Wiley-Interscience, 2013. - xxvii, 1135 p. : ill.

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"--


Electronic reproduction.
Palo Alto, Calif. :
ebrary,
2013.
Available via World Wide Web.
Access may be limited to ebrary affiliated libraries.






Image processing--Digital techniques.
Spectroscopic imaging.
Signal processing.


Electronic books.

TA1637 / .C4776 2013eb

621.39/94