Hyperspectral Imaging: Techniques for Spectral Detection and Classification
Editorial Reviews
Book Description
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.
Hyperspectral Imaging: Techniques for Spectral Detection and Classification,Chein-I Chang,Springer,0306474832,Digital Image Processing,Digital techniques,Earth Sciences - Geography,Earth Sciences - Geology,Educational evaluation,Educational leadership,Image processing,Imaging Systems,Multispectral photography,Remote Sensing,Remote Sensing Techniques,School management and organiza,Science,Science/Mathematics,Technology & Industrial Arts,United States,Computers / Computer Graphics / General
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