Segmentation of remotely sensed images using wavelet features and their evaluation in soft computing framework

Please use this identifier to cite or link to this item: http://hdl.handle.net/10263/3065

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DC Field	Value	Language
dc.contributor.author	Acharyya, Mausumi	-
dc.contributor.author	De, Rajat K	-
dc.contributor.author	Kundu, Malay K	-
dc.date.accessioned	2012-01-24T20:02:16Z	-
dc.date.available	2012-01-24T20:02:16Z	-
dc.date.issued	2003	-
dc.identifier.citation	IEEE transactions on geoscience and remote sensing,V41,P2900-2905	en_US
dc.identifier.uri	http://hdl.handle.net/10263/3065	-
dc.language.iso	en	en_US
dc.subject	Adaptive basis selection	en_US
dc.subject	Fuzzy feature evaluation index	en_US
dc.subject	M-band wavelet packet frames	en_US
dc.subject	Neural networks	en_US
dc.subject	Remotely sensed image	en_US
dc.title	Segmentation of remotely sensed images using wavelet features and their evaluation in soft computing framework	en_US
dc.type	Article	en_US
Appears in Collections:	Computer Science

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