关键词: 高分辨率合成孔径雷达（SAR）图像, 参数化内核图割, 数学形态学, 道路连接

Abstract: In view of the fact that roads in high resolution SAR image are hard to effectively extract, this paper proposes a new algorithm for road extraction in high resolution SAR image, which combines parametric kernel gragh cuts and mathematical morphology. First of all, the roads in the SAR image are initially segmented using parametric kernel gragh cuts, and void spots are filled and road edge is smoothed by mathematical morphology; secondly, road extraction is obtained by the degree of matrix, the improved length-width ratio, complexity and other factors to remove the false alarm based on the geometrical characteristics of the road. Finally, road centerline is extracted using mathematical morphology, and the broken road is connected by the segment proximity and directional consistency, and then the road width is restored by mathematical morphology so now a perfect road extraction of high-resolution SAR images is achieved. The results show that the algorithm can effectively suppress speckle noise and extract the road accurately and completely without performing SAR image preprocessing.

Key words: high resolution Synthetic Aperture Radar（SAR） images, parametric kernel gragh cuts, mathematical morphology, road connection