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

This paper presents a new method to detect the bridge in synthetic aperture radar (SAR) images based on fractal. In this method, the gray surface of SAR image is model as a DFBR (discrete fractional Brownian random) field. In the homogenous region of SAR image, the H (Hurst) exponent of DHFR is almost the same but in the sharply change region such as the boundaries of bridge, the H occurs as singularity. According to this characteristic, the bridge can be detected and extracted. In order to alleviate the influence of the speckle of SAR image, an idea of mean was introduced into this algorithm. Experiment results show this algorithm is very effective and superior to other classical edge detection operators.