Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/224268
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dc.coverage.spatialA novel image fusion technique using Discrete shearlet transform for Remote sensing applications
dc.date.accessioned2018-12-24T06:04:33Z-
dc.date.available2018-12-24T06:04:33Z-
dc.identifier.urihttp://hdl.handle.net/10603/224268-
dc.description.abstractThe process of combining methodology from more images into a newlinesingle highly contrasted image is called as image fusion A highly contrasted newlineimage extracts the best of input images then conveying into the single image newlineThe combination of multiple source images into single informative image will newlinebe supportive for many applications in the field of remote sensing medical newlineinformatics weather forecasting and defense newlineThe effect of remote sensing on different applications of earth newlinescience is extensively expanded because of launched many satellites Remote newlineSensing gives information at different scale Because of physical constraints newlinein sensor outline, there is an intrinsic exchange amongst spatial and spectral newlineresolution of remote sensing satellite images. Thus, most sensors intend at newlinenecessities of only some specific applications. This has direct to the under newlineutilization of incomprehensible measures of information available for newlinedifferent research assig newline newline
dc.format.extentxxiii, 177p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleA novel image fusion technique using Discrete shearlet transform for Remote sensing applications
dc.title.alternative
dc.creator.researcherAdaline suji R
dc.subject.keywordEngineering and Technology,Computer Science,Remote Sensing
dc.subject.keywordnovel image
dc.subject.keywordRemote sensing
dc.description.notep.161-176.
dc.contributor.guideSaravanan S
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registeredn.d.
dc.date.completed01/06/2017
dc.date.awarded30/06/2017
dc.format.dimensions23cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File14.25 kBAdobe PDFView/Open
02_certificate.pdf4.05 kBAdobe PDFView/Open
03_abstract.pdf7.64 kBAdobe PDFView/Open
04_acknowledgement.pdf4.77 kBAdobe PDFView/Open
05_contents.pdf26.47 kBAdobe PDFView/Open
06_chapter 1.pdf341.63 kBAdobe PDFView/Open
07_chapter 2.pdf158.09 kBAdobe PDFView/Open
08_chapter 3.pdf251.12 kBAdobe PDFView/Open
09_chapter 4.pdf222.89 kBAdobe PDFView/Open
10_chapter 5.pdf229.19 kBAdobe PDFView/Open
11_chapter 6.pdf12.25 kBAdobe PDFView/Open
12_appendix.pdf10.12 kBAdobe PDFView/Open
13_references.pdf154.32 kBAdobe PDFView/Open
14_publications.pdf11.64 kBAdobe PDFView/Open


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