Deep convolutional neural network for scene classification of high resolution remote sensing images

dc.contributor.guide	Gayathri R
dc.coverage.spatial	Deep convolutional neural network for scene classification of high resolution remote sensing images
dc.creator.researcher	Akila G
dc.date.accessioned	2025-11-03T05:28:56Z
dc.date.available	2025-11-03T05:28:56Z
dc.date.awarded	2025
dc.date.completed	2025
dc.date.registered
dc.description.abstract	Recent year have seen a boom in the area of remote-sensing image interpretations and Remote-sensing Image Scene Classification (RSISC) has become significantly improtant. A tremendous advancement in the categorizaion of remotely sensed image scenes has been accomplished with the recent innovation of Convolutional Neural Networks. newline
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions	21cm.
dc.format.extent	xxi,146p.
dc.identifier.researcherid
dc.identifier.uri	http://hdl.handle.net/10603/670588
dc.language	English
dc.publisher.institution	Faculty of Information and Communication Engineering
dc.publisher.place	Chennai
dc.publisher.university	Anna University
dc.relation	p.133-145
dc.rights	university
dc.source.university	University
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Information Systems
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Image Scene Classification
dc.subject.keyword	interpretations
dc.subject.keyword	remote-sensing image
dc.title	Deep convolutional neural network for scene classification of high resolution remote sensing images
dc.title.alternative
dc.type.degree	Ph.D.