Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/151869
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dc.coverage.spatialSchool of Computing Science and Engineering
dc.date.accessioned2017-05-26T11:54:09Z-
dc.date.available2017-05-26T11:54:09Z-
dc.identifier.urihttp://hdl.handle.net/10603/151869-
dc.description.abstractAbstract available
dc.format.extent109 p.
dc.languageEnglish
dc.relation-
dc.rightsuniversity
dc.titleAn integrated semi supervised framework for change detection in multi temporal multispectral remotely sensed images
dc.title.alternative-
dc.creator.researcherLal, Anisha M
dc.subject.keywordFramework
dc.subject.keywordImage
dc.subject.keywordSupervise
dc.subject.keywordTemporal
dc.description.noteReferences p. 98-109
dc.contributor.guideAnouncia, Margret S
dc.publisher.placeVellore
dc.publisher.universityVIT University
dc.publisher.institutionSchool of Computing Science and Engineering
dc.date.registeredn.d.
dc.date.completed2016
dc.date.awardedn.d.
dc.format.dimensions-
dc.format.accompanyingmaterialNone
dc.type.degreePh.D.
dc.source.inflibnetINFLIBNET
Appears in Departments:School of Computing Science and Engineering

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01_title.pdfAttached File109.95 kBAdobe PDFView/Open
02_dedicated.pdf99.84 kBAdobe PDFView/Open
03_declaration.pdf238.81 kBAdobe PDFView/Open
04_certificate.pdf257.63 kBAdobe PDFView/Open
05_abstract.pdf10.43 kBAdobe PDFView/Open
06_acknowlegdement.pdf306.73 kBAdobe PDFView/Open
07_contents.pdf101.37 kBAdobe PDFView/Open
08_list of tables figures.pdf132.09 kBAdobe PDFView/Open
09_chapter 1.pdf116.74 kBAdobe PDFView/Open
10_chapter 2.pdf289.71 kBAdobe PDFView/Open
11_chapter 3.pdf289.71 kBAdobe PDFView/Open
12_chapter 4.pdf799.78 kBAdobe PDFView/Open
13_chapter 5.pdf625.66 kBAdobe PDFView/Open
14_chapter 6.pdf1.54 MBAdobe PDFView/Open
15_chapter 7.pdf227.44 kBAdobe PDFView/Open
16_references.pdf366.61 kBAdobe PDFView/Open


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