一种改进的基于结构检测的SAR图像散斑滤波方法

Jia Cheng-li, Gao Gui, Kuang Gang-yao, Yu Wen-xian
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引用次数: 2

摘要

针对Lopes结构检测和统计自适应散斑滤波存在的问题,提出了一种改进的基于结构检测的SAR图像散斑滤波方法。该方法利用概率迭代对SAR图像进行分割和边缘检测,然后结合强散射体检测结果将SAR图像标记为结构区和非结构区。在非结构区域,采用Lee滤波器,在结构区域,保留图像的强度。RADARSAT图像的实验结果验证了改进方法的实用性和优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An improved method of speckle filtering in SAR image based on structure detection
This paper presents an improved method of speckle filtering in SAR image based on structure detection to solve some problems of the Lopes' structure detection and statistical adaptive speckle filtering. The method uses the probability iterative to segment SAR image and detect the edges, then combines the strong scatterer detection result to label the SAR image as structure area and non-structure area. In non-structure area, the Lee filter is used, and in the structure area, the intensity of the image is preserved. Experimental results with RADARSAT images verify the practicability and the advantage of the improved method.
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