The application of morphology to the edge detection of road from UWB SAR images
数学形态法在超宽带SAR 道路边缘检测中的应用

Due to the multifomity of the clutter statistic property in UWB SAR image, there are much false lines, discontinuity of road edge and big computation load when using traditional method based on one clutter statistical property, like ROA, to detect road edge from UWB SAR image. In this article, a novel method based on morphology is proposed which not only uses multidirectional and multiscale structures, but also utilizes original gray image information. First, the original image is transformed to binary image. Second, circular close-open operation is processed with the structures mentioned above to get consequential images. Finally with the original gray image information, the consequential images are fused to obtain the final results. Experiments show that the presented method, compared with the traditional edge detecting methods, can get fewer false lines, more accurate localization, better continuity and smaller computational load.