Abstract:This paper describes a new method for matching SAR image and optical image. First, regularizing anisotropic heat diffusion equations is used for segmenting closed-boundary regions in SAR image. After superposing the center of mass of closed-boundary regions, Haudorff distance and genetic algorithm are used to determine scaling and rotation parameters respectively. Finally, the affine-transformed result is refined by binary image correlation to achieve high precise registration. Experimental results indicated that this method can perform automatic registration under precision acquirement for images which differ by translation, rotation and scaling.
王子路; 李智勇; 粟 毅. 一种基于非线性扩散方程和Hausdorff测度理论的SAR图像与光学图像配准方法[J]. 电子与信息学报, 2009, 31(2): 386-390 .
Wang Zi-lu; Li Zhi-yong; Su Yi. Matching Optical Image to SAR Image Using Nonlinear Equation and Hausdorff Distance. , 2009, 31(2): 386-390 .