Road extraction base on Zernike algorithm on SAR image

In the SAR image, the road recognition is conducive to the SAR image interpretation using in traffic monitoring, GIS information, and Geographical mapping, but the road is difficult to extract for blurring by speckles. Based on mathematical morphology, a new road extraction method is proposed in this paper. After the pre-processing to reduce the influence of the speckles, the binary image information is gained by the Otsu method. Then, the information without the road information is removed by the mathematical morphological opening operation. In addition, after being corroded and reconstructed, the complete road boundary is detected by edge detection operations, and the result is relocated on the original image. Compared with the morphological method, road extraction is done by applying the Zernike moments. Orthogonal property of Zernike moment basis functions guarantees the statistically independence of coefficients in extracted feature vectors. The proposed method is evaluated on the SAR Image data. Results show that presented method outperforms recently presented works due to its high performance.