摘要
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。
Fuzzy set theory to realize edge extraction for synthetic aperture radar （SAR） imagery is ap- plied. A fuzzy edge detector is present. Every pixel＇ s membership value is computed, and then the membership values with nonlinear function is translated, the contrast of original image is enhanced. At last, the enhanced image and the edges of original image are obtained by threshold processing of the en- hanced image. The fuzzy edge detector is verified and compared with max-likelihood edge detector with high-resolution SAR image, and the results verify the superiority of the proposed detector.
出处
《战术导弹技术》
2014年第1期71-74,90,共5页
Tactical Missile Technology
关键词
合成孔径雷达图像
边缘检测
模糊集
synthetic aperture radar imagery
edge detection
fuzzy set
