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

Volume

2

fYear

34881

fDate

10-14 Jul1995

Firstpage

1412

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IGARSS.1995.521765

Filename

521765