Hyperspectral Imaging : Techniques for Spectral Detection and Classification
2nd 2003 ed.
Book Details
Format
Hardback or Cased Book
ISBN-10
0306474832
ISBN-13
9780306474835
Edition
2nd 2003 ed.
Publisher
Springer Science+Business Media
Imprint
Kluwer Academic/Plenum Publishers
Country of Manufacture
US
Country of Publication
GB
Publication Date
Jul 31st, 2003
Print length
370 Pages
Weight
744 grams
Dimensions
26.30 x 53.60 x 3.00 cms
Product Classification:
Image processing
Ksh 34,750.00
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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.
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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