1. Shodhganga@INFLIBNET
  2. Indian Institute of Technology Roorkee
  3. Department of Electronics and Communication Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/452716
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DC FieldValueLanguage
dc.coverage.spatialElectronics and Communication Engineering
dc.date.accessioned2023-01-24T11:53:33Z-
dc.date.available2023-01-24T11:53:33Z-
dc.identifier.urihttp://hdl.handle.net/10603/452716-
dc.description.abstractAvailable newline newline
dc.format.extentxlii, 189 p.
dc.languageEnglish
dc.relationNA
dc.rightsuniversity
dc.titleDevelopment of deep learning approaches to extract information from satellite images
dc.title.alternativeNa
dc.creator.researcherPhartiyal , Gopal Singh
dc.subject.keywordComputer Science
dc.subject.keywordEngineering and Technology
dc.subject.keywordRemote Sensing
dc.description.note
dc.contributor.guideSingh, Dharmendra and Yahia Hussein
dc.publisher.placeRoorkee
dc.publisher.universityIndian Institute of Technology Roorkee
dc.publisher.institutionDepartment of Electronics and Communication Engineering
dc.date.registered2015
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensionsNA
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electronics and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File65.44 kBAdobe PDFView/Open
02_prelim pages.pdf2.62 MBAdobe PDFView/Open
03_abstract.pdf1.06 MBAdobe PDFView/Open
04_chapters 1-7.pdf8.86 MBAdobe PDFView/Open
05_annexures.pdf3.62 MBAdobe PDFView/Open
80_recommendation.pdf777.96 kBAdobe PDFView/Open
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