Hyperspectral Imaging : Techniques for Spectral Detection and Classification (Hardcover) - Chang, Chein-I

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Product Overview

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.

Specifications

Publisher Springer Verlag
Mfg Part# 9780306474835
SKU 31085096
Format Hardcover
ISBN10 0306474832
Release Date 4/10/2007
Physical
Dimensions (in Inches) 10H x 7.25L x 1.25T
From the Publisher
Editors Note 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, Bal
Product Attributes
Book Format Hardcover
Edition 0002
Number of Pages 0367
Publisher Springer
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$174.83 + free shipping
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