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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/53324
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dc.titleTexture analysis of SAR images
dc.contributor.authorLiew, Soo Chin
dc.contributor.authorLim, Hock
dc.contributor.authorKwoh, Leong Keong
dc.contributor.authorTay, Geok Kee
dc.date.accessioned2014-05-19T02:57:06Z
dc.date.available2014-05-19T02:57:06Z
dc.date.issued1995
dc.identifier.citationLiew, Soo Chin,Lim, Hock,Kwoh, Leong Keong,Tay, Geok Kee (1995). Texture analysis of SAR images. International Geoscience and Remote Sensing Symposium (IGARSS) 2 : 1412-1414. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/53324
dc.description.abstractTexture features derived from the grey level co-occurrance matrix (GLCM) and the fractal dimension were evaluated for a SAR image. The local values of the texture features for every pixel in the image were evaluated in a small (16 by 16 pixels) window around each pixel. The features derived from the GLCM were able to discriminate between the built-up areas, forest and swamps. The fractal dimension was only able to distinguish the built-up area from the natural areas.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentPHYSICS
dc.contributor.departmentCTR FOR REM IMAGING,SENSING & PROCESSING
dc.description.sourcetitleInternational Geoscience and Remote Sensing Symposium (IGARSS)
dc.description.volume2
dc.description.page1412-1414
dc.description.codenIGRSE
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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