A segmentation algorithm for SAR images based on the anisotropic heat diffusion equation

Authors:
Gui Gao;Lingjun Zhao;Jun Zhang;Diefei Zhou;Jijun Huang
Affiliations:
National University of Defence Technology, Changsha 410073, China;National University of Defence Technology, Changsha 410073, China;National University of Defence Technology, Changsha 410073, China;Hunan Normal University, Changsha 410081, China;National University of Defence Technology, Changsha 410073, China
Venue:
Pattern Recognition
Year:
2008

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Abstract

A method toward unsupervised segmentation of synthetic aperture radar (SAR) images is proposed. In this method, the distribution of SAR intensity image and the maximum a posteriori (MAP) algorithm is used to obtain an initial segmentation. Then according to the equivalence between the solid heat diffusion model and image scale-space, multiscale anisotropic smoothing of the posterior probability matrixes is introduced to remove the influence of speckle and to preserve important structure information. The effectiveness of this algorithm is demonstrated by application to simulated and real SAR images.