The first of its kind, this book reviews image processing tools
and techniques including Independent Component Analysis, Mutual
Information, Markov Random Field Models and Support Vector
Machines. The book also explores a number of experimental examples
based on a variety of remote sensors. The book will be useful to
people involved in hyperspectral imaging research, as well as by
remote-sensing data like geologists, hydrologists, environmental
scientists, civil engineers and computer scientists.
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