Hyperspectral Imaging - Techniques for Spectral Detection and Classification (Hardcover, 2nd 2003 ed.)

Hyperspectral Imaging: Techniques for Spectral Detection and Classification is an outgrowth of the research conducted over the years in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. It explores applications of statistical signal processing to hyperspectral imaging and further develops non-literal (spectral) techniques for subpixel detection and mixed pixel classification. This text is the first of its kind on the topic and can be considered a recipe book offering various techniques for hyperspectral data exploitation. In particular, some known techniques, such as OSP (Orthogonal Subspace Projection) and CEM (Constrained Energy Minimization) that were previously developed in the RSSIPL, are discussed in great detail. This book is self-contained and can serve as a valuable and useful reference for researchers in academia and practitioners in government and industry.

General

Imprint:	Kluwer Academic / Plenum Publishers
Country of origin:	United States
Release date:	July 2003
First published:	2003
Authors:	Chein-I Chang
Dimensions:	235 x 155 x 30mm (L x W x T)
Format:	Hardcover
Pages:	370
Edition:	2nd 2003 ed.
ISBN-13:	978-0-306-47483-5
Categories:	Books > Computing & IT > Applications of computing > Image processing > General
LSN:	0-306-47483-2
Barcode:	9780306474835

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