Abstract：A linear feature extraction algorithm for Synthetic Aperture Radar (SAR) image is proposed, which is based on the low signal-to-noise quality of SAR image. Firstly, a new edge detector, which fuses the Canny operator and Ratio Of Average (ROA) operator, is used to get the edge points. Then, radon transform is carried out to get the primitive line segments. Finally, the broken lines due to speckle noise are connected by means of the heuristic link idea. The experiment results which are based on the SAR images show, the proposed algorithm can describe the linear characteristic of SAR images precisely, and it can be used for SAR auto target recognition and scene matching.
安成锦; 杜琳琳; 王卫华; 陈曾平. 基于融合边缘检测的SAR图像线性特征提取算法[J]. 电子与信息学报, 2009, 31(6): 1279-1282 .
An Cheng-jin; Du Lin-lin; Wang Wei-hua; Chen Zeng-ping. Linear Feature Extraction for SAR Image Based on Fused Edge Detector. , 2009, 31(6): 1279-1282 .
2009, Vol. 31 
