Research on Road Object Recognition in SAR Image

In this paper we present a new algorithm of road object recognition in SAR image. This algorithm fully makes use of the properties of SAR images. It employs an adaptive mean filter to depress the coherent speckle noise and preserves the edge in the low-level processing, which makes the road extraction much easier. In the middle-level processing, we designed an oriented filter to extract the potential road objects according to the continuity of roads in gray and direction, and in the end, road recognition is utilized in the high-level processing. The algorithm we present is verified to be effective when it’s applied to the road extraction using the Radarsat Image of Taiwan district, China