Please use this identifier to cite or link to this item: http://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
Source: 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

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

24
checked on Dec 16, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.