An investigation of support vector machine SVM classification algorithms and dynamic image contrast enhancement technique for the remote sensing images

dc.contributor.guide	Sundararajan, J
dc.coverage.spatial	Information and Communication Engineering
dc.creator.researcher	R, Kathirvel
dc.date.accessioned	2019-03-19T10:02:48Z
dc.date.available	2019-03-19T10:02:48Z
dc.date.awarded	n.d.
dc.date.completed	2017
dc.date.registered	n.d.
dc.description.abstract	Abstract available
dc.description.note	Data not available
dc.format.accompanyingmaterial	None
dc.format.dimensions	28cm.
dc.format.extent	xxi, 214p.
dc.identifier.uri	http://hdl.handle.net/10603/232938
dc.language	Others
dc.publisher.institution	Faculty of Information and Communication Engineering
dc.publisher.place	Chennai
dc.publisher.university	Anna University
dc.relation	204-213
dc.rights	university
dc.source.university	University
dc.subject.keyword	Denoising
dc.subject.keyword	GeospatialData
dc.subject.keyword	RemoteSensing
dc.subject.keyword	SatelliteImage
dc.subject.keyword	VectorMachine
dc.title	An investigation of support vector machine SVM classification algorithms and dynamic image contrast enhancement technique for the remote sensing images
dc.title.alternative
dc.type.degree	Ph.D.