%0 Journal Article
%A KOU Guang-jie
%A MA Yun-yan
%A YUE Jun
%T SAR Image Segmentation Based on SRADPRO and SCM Model
%D 2016
%R 10.13190/j.jbupt.2016.01.023
%J Journal of Beijing University of Posts and Telecommunications
%P 122-126
%V 39
%N 1
%X <p>An improved speckle reducing anisotropic diffusion (SRADPRO) algorithm was adopted to reduce the speckle in synthetic aperture radar (SAR) image. An adaptive SAR image segmentation algorithm speckle reducing spiking cortical model (SRSCM) was proposed when SRADPRO and spiking cortical model (SCM) was combined. In SRSCM, the standard deviation was calculated through a uniform sample region in the SAR image, and then the effect degree of speckle can be estimated as a result whether to employ the operator of SRADPRO was determined. At the second stage, the SCM operator was executed. Because of the auto wave characteristic of SCM, the segmented image and edge detection result can be obtained together. The effectiveness of SRSCM was proved by the comparisons with several traditional algorithms.</p>
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2016.01.023