Hierarchical hybrid SVM method for joint spatial and spectral classification of remotely sensed data

dc.contributor.guide	Jai Sankar, G and Malleswara Rao, T CH	en_US
dc.coverage.spatial	Geo Engineering	en_US
dc.creator.researcher	Tamma Roopesh Kumar	en_US
dc.date.accessioned	2014-11-24T12:29:13Z
dc.date.available	2014-11-24T12:29:13Z
dc.date.awarded	30/12/2013	en_US
dc.date.completed	29/05/2013	en_US
dc.date.issued	2014-11-24
dc.date.registered	n.d.	en_US
dc.description.abstract	Non	en_US
dc.description.note	Bibliography p.126-138	en_US
dc.format.accompanyingmaterial	DVD	en_US
dc.format.dimensions	-	en_US
dc.format.extent	143p.	en_US
dc.identifier.uri	http://hdl.handle.net/10603/28805
dc.language	English	en_US
dc.publisher.institution	Department of Geo-Engineering	en_US
dc.publisher.place	Vishakhapatnam	en_US
dc.publisher.university	Andhra University	en_US
dc.relation	-	en_US
dc.rights	university	en_US
dc.source.inflibnet	INFLIBNET	en_US
dc.subject.keyword	Geo Engineering	en_US
dc.subject.keyword	SVM method	en_US
dc.subject.keyword	Spectral classification	en_US
dc.title	Hierarchical hybrid SVM method for joint spatial and spectral classification of remotely sensed data	en_US
dc.title.alternative	-	en_US
dc.type.degree	Ph.D.	en_US