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.