SAR image segmentation using kernel based spatial FCM

Authors:
Xiangrong Zhang;Tan Shan;Shuang Wang;Licheng Jiao
Affiliations:
National Key Lab for Radar Signal Processing and Institute of Intelligent, Information Processing, Xidian University, Xi'an, Shaanxi, China;National Key Lab for Radar Signal Processing and Institute of Intelligent, Information Processing, Xidian University, Xi'an, Shaanxi, China;National Key Lab for Radar Signal Processing and Institute of Intelligent, Information Processing, Xidian University, Xi'an, Shaanxi, China;National Key Lab for Radar Signal Processing and Institute of Intelligent, Information Processing, Xidian University, Xi'an, Shaanxi, China
Venue:
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Year:
2005

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Abstract

The presence of speckle in synthetic aperture radar (SAR) images makes the segmentation of such images difficult. In this paper, a set of energy measures of channels of the undecimated wavelet decomposition is used to represent the texture information of SAR image efficiently. Furthermore, the kernel FCM incorporating spatial constraints, which is characteristic of robustness to noise, is applied to the SAR image segmentation. A synthesized texture image and a Ku-band SAR image are used in experiments and the successful segmentation results show the validation of the method.