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针对合成孔径雷达(SAR)图像的边缘提取问题,提出采用模糊集理论实现SAR图像的边缘检测。设计了一种模糊边缘检测器,该检测器首先计算图像中每一个像素点的边缘隶属度,然后对该隶属度进行非线性变换以增强原始图像的对比度,最后对增强后图像进行阈值化处理得到原始图像的边缘。将模糊边缘检测器与经典的极大似然边缘检测器进行SAR实测数据的仿真试验对比,结果证明了模糊边缘检测器的有效性和优越性。
In order to solve the problem of edge detection in Synthetic Aperture Radar (SAR) image, the fuzzy set theory is proposed to detect the edge of SAR image. A fuzzy edge detector is designed. The detector firstly calculates the edge membership of each pixel in the image, and then nonlinearly transforms the membership degree to enhance the contrast of the original image. At last, the enhanced image is thresholded Get the edge of the original image. The fuzzy edge detector and the classical maximum likelihood edge detector SAR experimental data simulation test results prove the effectiveness and superiority of the fuzzy edge detector.