Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/444436
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dc.coverage.spatial
dc.date.accessioned2023-01-12T12:21:12Z-
dc.date.available2023-01-12T12:21:12Z-
dc.identifier.urihttp://hdl.handle.net/10603/444436-
dc.description.abstractSynthetic Aperture Radar (SAR) has a unique imaging potential in providing newlinehigh-resolution day/night and weather- independent images. The main problem newlineof SAR images is the presence of speckle noise, which reduces the contrast and newlineresolution of the images. To improve the quality and performance of image analysis, newlinespeckle reduction is prerequisite for SAR images. With the rapid evolution of SAR newlinetechnology accompanying high-resolution data of large dimension demands better newlineand efficient speckle filtering algorithms. newline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleSpeckle Reduction of SAR images by using Expected Value in the Modified Non Local Mean Filter
dc.title.alternative
dc.creator.researcherSarungbam Bonny
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guideYambem Jina Chanu
dc.publisher.placeImphal
dc.publisher.universityNational Institute of Technology Manipur
dc.publisher.institutionDepartment of Electronics and Communications Engineering
dc.date.registered2014
dc.date.completed2019
dc.date.awarded2019
dc.format.dimensions21.5 x 29 cm
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electronics and Communications Engineering

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80_recommendation.pdfAttached File49.34 kBAdobe PDFView/Open
abstract.pdf35.98 kBAdobe PDFView/Open
annexures.pdf100.53 kBAdobe PDFView/Open
chapte1.pdf225.79 kBAdobe PDFView/Open
chapter2.pdf224.33 kBAdobe PDFView/Open
chapter3.pdf7 MBAdobe PDFView/Open
chapter4.pdf4.9 MBAdobe PDFView/Open
chapter5.pdf49.34 kBAdobe PDFView/Open
contents.pdf49.91 kBAdobe PDFView/Open
prelims.pdf156.87 kBAdobe PDFView/Open
title.pdf39.1 kBAdobe PDFView/Open


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