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A fast two-stage classification method for high-dimensional remote sensing data

✍ Scribed by Te-Ming Tu; Chin-Hsing Chen; Jiunn-Lin Wu; Chein-I Chang


Book ID
117876699
Publisher
IEEE
Year
1998
Tongue
English
Weight
304 KB
Volume
36
Category
Article
ISSN
0196-2892

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Because of the difficulty of obtaining an analytic expression for Bayes error, a wide variety of separability measures has been proposed for feature selection. In this paper, we show that there is a general framework based on the criterion of mutual information (MI) that can provide a realistic solu