Feature selection for classification of hyperspectral data by SVM

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Feature selection for classification of hyperspectral data by SVM

SVM are attractive for the classification of remotely sensed data with some claims that the method is insensitive to the dimensionality of the data and so not requiring a dimensionality reduction analysis in pre-processing. Here, a series of classification analyses with two hyperspectral sensor data...

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Bibliographic Details
Main Authors:	Pal, Mahesh, Foody, Giles M.
Format:	Article
Published:	Institute of Electrical and Electronics Engineers 2010
Online Access:	https://eprints.nottingham.ac.uk/1998/

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