Chinese Optics Letters, 2008, 6 (4): 248, Published Online: Apr. 21, 2008
Segmentation of synthetic aperture radar image using multiscale information measure-based spectral clustering
多尺度信息度量 SAR图像 谱分割 100.0100 Image processing 280.0280 Remote sensing and sensors 280.6730 Synthetic aperture radar
Abstract
A multiscale information measure (MIM), calculable from per-pixel wavelet coefficients, but relying on global statistics of synthetic aperture radar (SAR) image, is proposed. It fully exploits the variations in speckle pattern when the image resolution varies from course to fine, thus it can capture the intrinsic texture of the scene backscatter and the texture due to speckle simultaneously. Graph spectral segmentation methods based on MIM and the usual similarity measure are carried out on two real SAR images. Experimental results show that MIM can characterize texture information of SAR image more effectively than the commonly used similarity measure.
Haixia Xu, Zheng Tian, Mingtao Ding. Segmentation of synthetic aperture radar image using multiscale information measure-based spectral clustering[J]. Chinese Optics Letters, 2008, 6(4): 248.