An algorithm of bridge detection in radar sensing images based on fractal

This paper presents a new method to detect bridges in Synthetic Aperture Radar (SAR) images based on fractals. In this method, the gray surface of an SAR image is modelled as a DFBR (Discrete Fractional Brownian Random) field. In the homogenous region of SAR image, the H (Hurst) exponent of the DBFR is about the same; but in the sharply changing region such as the boundaries of a bridge, the H occurs singularity. According by this characteristic, the bridge can be detected and extracted. In order to alleviate the influence of the speckle of SAR image, the concept of mean was introduced into this algorithm. Experiment results show this algorithm is very effective and superior to other classical edge detection operators.