Edge detection and speckle adaptive filtering for SAR images based on a second-order textural measure
Edge detection and speckle adaptive filtering for SAR images based on a second-order textural measure
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基于二阶纹理测量的SAR图像边缘检测和散斑自适应滤波
DOI：
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发表时间：
1996
期刊：
影响因子：
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通讯作者：
G. Edwards
中科院分区：
文献类型：
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作者：
M. Beauchemin;K. Thomson;G. Edwards
摘要提出了一种基于二阶纹理测度的边缘检测器。实验结果表明，该算子具有较好的边缘敏感性和不依赖于图像亮度的响应特性，适用于SAR图像分析。第二部分介绍了一种基于边缘检测器的自适应散斑滤波器。利用机载SAR图像说明了该滤波器的潜力。结果表明，该滤波器比基于变异系数的滤波器更好地保留了边缘，并且对除斑点以外的纹理图案仍然具有良好的灵敏度。考虑到纹理在雷达图像解译中的重要性，这些滤波器可能对预解译图像增强有用。
Abstract An edge detector based on a second-order texture measure is presented. It is demonstrated that the operator is well adapted for SAR image analysis: it possesses good sensitivity to edges and its response does not depend on the image brightness. In the second part of the paper, an adaptive speckle filter based on the presented edge detector is introduced. The potential of the filter is illustrated using an airborne SAR image. It is shown that the filter preserves edges better than filters based on the coefficient of variation and still provides good sensitivity to textural patterns other than speckle. Considering the recognized importance of texture in the interpretation of radar imagery, these filters may be useful for pre-interpretation image enhancement.