基于遗传算法与仿射变换的遥感图像配准

Remote-sensing Image Registration via Genetic Algorithm and Affine Transform

为了更好地实现遥感图像配准,提出一种新的模型,将传统的平移旋转变换推广到仿射变换,采用互信息测度衡量两幅图像之间的差异,并采用遗传算法寻找模型的最优值。实验表明算法有效,能够在较短的迭代次数内收敛到问题的最优解。

In order to realize image registration more efficiently,a novel model was proposed.Firstly,traditional translation and rotation transform was generalized to affine transform.Secondly,the mutual information was used to measure the difference between two images.Finally,genetic algorithm was used to find the global optimal point of the model.Experiments demonstrate that this proposed method is effective,moreover,it can converge to the global optimal solution within small epochs.