Adaptive edge detection algorithm of sar image
自适应SAR图像边缘检测算法

Due to the multiplicative nature of the speckle noise in SAR images, for edge detecting of SAR images, few method can be found to detect edges efficiently while depress the speckle noise effects without too much false edges, especially in the low look number SAR image case. In this paper, discussions are presented on the improvement of Touzi ratio edge detect method and maximum likelihood method in the low look number SAR image case, and then an adaptive window technique is introduced into SAR image edge detection. The adaptive windows are applied to the two Constant False Alarm Ratio (CFAR) edge detection algorithms mentioned above and fine improvement has been achieved. The technique is also proper for other SAR image edge detection algorithms.