Feature selection: evaluation, application, and small sampleperformance
Jain, A.; Zongker, D.
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Volume 19, Issue 2, Feb 1997 Page(s):153 - 158
Digital Object Identifier   10.1109/34.574797
Summary:A large number of algorithms have been proposed for feature subset selection. Our experimental results show that the sequential forward floating selection algorithm, proposed by Pudil et al. (1994), dominates the other algorithms tested. We study the problem of choosing an optimal feature set for land use classification based on SAR satellite images using four different texture models. Pooling features derived from different texture models, followed by a feature selection results in a substantial improvement in the classification accuracy. We also illustrate the dangers of using feature selection in small sample size situations

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