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Classification of remote-sensing images by using the Bayes rule for minimum cost

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1 Author(s)
L. Bruzzone ; Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy

An approach based on the Bayes rule for minimum cost for feature selection and classification of remote-sensing images is proposed. This approach allows one to achieve land-cover maps in which the total cost involved by errors, instead of the total classification error, is minimized. Experiments carried out on a multisource data set of the Island of Elba (Italy) point out the effectiveness of the proposed minimum cost approach

Published in:

Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International  (Volume:4 )

Date of Conference:

6-10 Jul 1998