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Sensitive fusion and segmentation of geophysical images in a complex space of information features on base SVM methodology

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2 Author(s)
Akhmetshin, A.M. ; Dniepropetrovsk Nat. Univ., Ukraine ; Dowhenko, O.V.

The present paper outlines a new effective method of multiparameter images sensitive fusion. The support vector machines (SVM) methodology is used.

Published in:

Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International  (Volume:4 )

Date of Conference:

24-28 June 2002