Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/579585
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dc.coverage.spatial
dc.date.accessioned2024-07-30T04:51:31Z-
dc.date.available2024-07-30T04:51:31Z-
dc.identifier.urihttp://hdl.handle.net/10603/579585-
dc.description.abstractAvailable.
dc.format.extentxxii, 164 p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDevelopment of Fast Learning based Approaches for Super resolution of Multispectral Remote Sensing Images
dc.title.alternative
dc.creator.researcherBarman, Trishna
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Multidisciplinary
dc.subject.keywordMultispectral
dc.subject.keywordRemote Sensing
dc.subject.keywordSuper-resolution
dc.description.note
dc.contributor.guideDeka, Bhabesh
dc.publisher.placeTezpur
dc.publisher.universityTezpur University
dc.publisher.institutionDepartment of Electronics and Comm. Engineering
dc.date.registered2022
dc.date.completed2023
dc.date.awarded2024
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electronics and Comm. Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File92.25 kBAdobe PDFView/Open
02_prelim pages.pdf166.3 kBAdobe PDFView/Open
03_content.pdf25.99 kBAdobe PDFView/Open
04_abstract.pdf19.39 kBAdobe PDFView/Open
05_chapter 1.pdf1.44 MBAdobe PDFView/Open
06_chapter 2.pdf640.93 kBAdobe PDFView/Open
07_chapter 3.pdf4.41 MBAdobe PDFView/Open
08_chapter 4.pdf6.85 MBAdobe PDFView/Open
09_chapter 5.pdf5.78 MBAdobe PDFView/Open
10_chapter 6.pdf37.36 kBAdobe PDFView/Open
11_annexures.pdf1.08 MBAdobe PDFView/Open
80_recommendation.pdf128.83 kBAdobe PDFView/Open


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