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Discrimination of water from shadow regions on radar imagery using computer vision techniques

dc.contributor.authorQian, Jianzhongen
dc.contributor.departmentElectrical Engineeringen
dc.date.accessioned2021-10-26T20:09:57Zen
dc.date.available2021-10-26T20:09:57Zen
dc.date.issued1985en
dc.description.abstractUnlike MSS LANDSAT imagery and other photography, the specific characteristics of the intensity of water and shadow in an SAR image make the task of discriminating them extremely difficult. In this thesis, we analyze the reflectivity mechanism of water and shadow on radar imagery and describe a scene analysis system which consists of a texture preserving noise removal procedure as the preprocessing step, a probabilistic relaxation algorithm to do the low level labeling and a spatial reasoning procedure based on a relational model to perform the high level interpretation. The experimental results obtained from the SAR images are presented to illustrate the performance of this system.en
dc.description.degreeM.S.en
dc.format.extentviii, 158 leavesen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/10919/106050en
dc.language.isoenen
dc.publisherVirginia Polytechnic Institute and State Universityen
dc.relation.isformatofOCLC# 13550051en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1985.Q526en
dc.subject.lcshComputer visionen
dc.subject.lcshImage processing -- Statistical methodsen
dc.subject.lcshSynthetic aperture radaren
dc.titleDiscrimination of water from shadow regions on radar imagery using computer vision techniquesen
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameM.S.en

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