SAR图像的自适应边缘保持去噪滤波
收稿日期: 2010-11-17
修回日期: 2010-12-30
网络出版日期: 2011-01-25
基金资助
国家“863”高技术研究发展计划基金(No.2008AA121701)；国家自然科学基金(No.40901194)；国家“973”重点基础研究发展计划基金(No.2009CB723903)；中国科学院对地观测中心数字地球科学平台重大项目基金(No.DESP01-04-03)资助
Adaptive Despeckling Filter with Edge-Preservation for SAR Image
Received date: 2010-11-17
Revised date: 2010-12-30
Online published: 2011-01-25
针对目前SAR图像斑点噪声滤波算法在噪声去除和边缘保持方面同时性上的不足，该文基于SAR图像噪声识别和边缘检测，提出适用于同质区域和边缘区域的自适应SAR图像去噪滤波方法. 该方法根据SAR图像斑点噪声、边缘位置、边缘方向信息，动态改变滤波器模板的尺寸和形状，实现SAR图像斑点噪声去除，同时保持图像边缘和纹理信息与细微结构. 以2010年8月15日北极地区RADARSAT-2 SAR HH图像为例，将本文的方法与典型空域滤波法进行对比分析，定量分析结果表明所提方法的可行有效.
薛存金1;2， 温晓阳1;2， 董庆1;2 . SAR图像的自适应边缘保持去噪滤波[J]. 应用科学学报, 2011 , 29(1) : 44 -50 . DOI: 10.3969/j.issn.0255-8297.2011.01.008
To deal with the conflict between speckle removal and edge preservation in the SAR despeckling operations, we propose an adaptive despeckling filter that can preserve edges based on noise identification and edge detection oriented to SAR images. In the filter, the template’s size and shape are adaptively changed according to the noise characteristics, and the edge position and direction in homogeneous and edge regions.
This way, noise in the SAR image is reduced, while edges are sharpened, and texture and fine structures preserved. RADARSAT-2 SAR HH images covering the North Arctic Pole obtained on August 25, 2010 are used in the experiment. The results show validation and practicability of the method.
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