Hyperspectral Imaging Techniques for Spectral Detection and Classification

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Synopsis

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.

Book details

Edition:
2003
Author:
Chein-I Chang
ISBN:
9781441991706
Related ISBNs:
9780306474835
Publisher:
Springer US
Pages:
N/A
Reading age:
Not specified
Includes images:
No
Date of addition:
2020-12-20
Usage restrictions:
Copyright
Copyright date:
2003
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Art and Architecture, Computers and Internet, Earth Sciences, Medicine, Nonfiction, Science, Technology