Kernel methods for remote sensing data analysis [electronic resource] / edited by Gustavo Camps-Valls, Lorenzo Bruzzone.

Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have now become the standard approach to many remote sensing applications. With algorithms that combine statistics and geometry, kernel methods have proven successful a...

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Bibliographic Details

Online Access:	Full Text (via Wiley)
Other Authors:	Camps-Valls, Gustavo, 1972- (Editor), Bruzzone, Lorenzo (Editor)
Format:	Electronic eBook
Language:	English
Published:	Chichester, U.K. : Wiley, 2009.
Subjects:	Remote sensing. Kernel functions. Support vector machines. Machine learning. Pattern perception.