Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/53324
Title: Texture analysis of SAR images
Authors: Liew, Soo Chin 
Lim, Hock 
Kwoh, Leong Keong 
Tay, Geok Kee
Issue Date: 1995
Citation: Liew, 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.
Abstract: Texture 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.
Source Title: International Geoscience and Remote Sensing Symposium (IGARSS)
URI: http://scholarbank.nus.edu.sg/handle/10635/53324
Appears in Collections:Staff Publications

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