Title :
Texture analysis of SAR images
Author :
Liew, So Chin ; Lim, Hock ; Kwoh, Leong Keong ; Tay, Geok Kee
Author_Institution :
Centre for Remote Imaging, Sensing & Processing, Nat. Univ. of Singapore, Singapore
Abstract :
Texture features derived from the grey level co-occurrence 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
Keywords :
forestry; fractals; geophysical signal processing; geophysical techniques; image texture; radar imaging; remote sensing by radar; synthetic aperture radar; GLCM; SAR image; SAR imaging; built-up area; forest forestry; fractal dimension; geophysical measurement technique; grey level co-occurrence matrix; image texture analysis; land surface; radar remote sensing; swamp; terrain mapping; urban area; vegetation mapping; wetland; Adaptive optics; Fractals; Image analysis; Image recognition; Image texture analysis; Optical imaging; Optical noise; Optical sensors; Pixel; Speckle;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
DOI :
10.1109/IGARSS.1995.521765
