Techniques for Spectral Detection and Classification 2nd
By (author) Chein-I Chang
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Hyperspectral Imaging by Chein-I Chang
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.
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Book DetailsISBN: 9780306474835
(235mm x 155mm x 23mm)
Imprint: Kluwer Academic/Plenum Publishers
Publisher: Springer Science+Business Media
Publish Date: 1-Jul-2003
Country of Publication: United States
Books By Author Chein-I Chang
Hyperspectral Data Processing, Hardback (March 2013)
Hyperspectral Data Processing: Algorithm Design and Analysis is a culmination of the research conducted in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County.
Hyperspectral Data Exploitation, Hardback (May 2007)» View all books by Chein-I Chang
Written by a panel of experts in the field, Hyperspectral Data Exploitation: Theory and Applications focuses on hyperspectral image analysis, systems, and applications.
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