Matching SAR image to optical image with spatial relation constrain
Ying Chen · Systems engineering and electronics · 2007
In order to match SAR image to optical reference image,a novel algorithm of scene matching with spatial relation constrain is presented.The edge feature of SAR image is extracted via an improved contour detecting algorithm,which computes the gradient of pixels using wavelet packet transform.The real-time image is divided into multiple subarea and each subarea is evaluated by the gray level standard deviation and the distance of spectral histogram.The spatial relationship of the subarea is applied to correct the matching result.The multiple-layer search strategy based on lifting wavelet transform is used to improve the performance of the algorithm.The experimental results of matching SAR real-time image to SPOT-5 optical reference image have verified the effectiveness and robustness of our algorithms,which have outperformed the algorithm of matching with center point and can provide more information for flyer locating.