Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/23596
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dc.coverage.spatialHigh resolution satellite data using gray level co occurrence matrix and semivariogram techniquesen_US
dc.date.accessioned2014-08-21T05:13:54Z-
dc.date.available2014-08-21T05:13:54Z-
dc.date.issued2014-08-21-
dc.identifier.urihttp://hdl.handle.net/10603/23596-
dc.description.abstractClassification of land use land cover is the basic building block for spatial planning and management In recent years the advancement in satellite surveying has provided cost effectiveness and aerial coverage of collecting information It has improved the land use land cover analysis in identifying clear boundaries of regions On the other hand urban analysis including the identification and classification of urban features has become more complex due to detailed information No doubt that high resolution satellite data can provide better details due to improved spatial and spectral resolutions But it has made the features split in several pixels and thereby causing difficulty in feature delineation The spectral based methods that are commonly used are likely to fail due to the fact that each land use land cover type or feature is presented in several spatial adjacent pixels of different spectral values within class variations The features are much larger than the pixel resolution spatial and there is a need for additional information like shape size association and tonal textural relations as a group of the featuresen_US
dc.format.extentxxiv, 205p.en_US
dc.languageEnglishen_US
dc.relationp.187-203en_US
dc.rightsuniversityen_US
dc.titleTexture based classification of high resolution satellite data using gray level co occurrence matrix and semivariogram techniquesen_US
dc.title.alternativeen_US
dc.creator.researcherShanmugam Men_US
dc.subject.keywordCivil engineeringen_US
dc.subject.keywordGray level co occurrence matrixen_US
dc.subject.keywordRemote sensingen_US
dc.subject.keywordSatellite surveyingen_US
dc.subject.keywordVariogram analysisen_US
dc.description.noteen_US
dc.contributor.guideRamalingam Men_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Civil Engineeringen_US
dc.date.registeredn.d.en_US
dc.date.completed01/09/2013en_US
dc.date.awarded30/09/2013en_US
dc.format.dimensions23cm.en_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Civil Engineering

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01_title.pdfAttached File80.25 kBAdobe PDFView/Open
02_certificates.pdf2.4 MBAdobe PDFView/Open
03_abstract.pdf12.93 kBAdobe PDFView/Open
04_acknowledgement.pdf6.25 kBAdobe PDFView/Open
05_contents.pdf30.1 kBAdobe PDFView/Open
06_chapter1.pdf52.03 kBAdobe PDFView/Open
07_chapter2.pdf50.59 kBAdobe PDFView/Open
08_chapter3.pdf1.88 MBAdobe PDFView/Open
09_chapter4.pdf1.01 MBAdobe PDFView/Open
10_chapter5.pdf489.37 kBAdobe PDFView/Open
11_chapter6.pdf13.76 MBAdobe PDFView/Open
12_chapter7.pdf17.09 kBAdobe PDFView/Open
13_appendix.pdf1.69 MBAdobe PDFView/Open
14_references.pdf56.12 kBAdobe PDFView/Open
15_publications.pdf4.84 kBAdobe PDFView/Open
16_vitae.pdf5.64 kBAdobe PDFView/Open


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