In consideration of the features of remarkable difference in the gray-scale of the remote sensing image with multi-scales,this paper presents an image registration method with improved Hausdorff distance based on scale-invariant to solve the registration of multi-source remote sensing images. According to the method,the scale-invariant features of multi-scale images were firstly extracted by using the feature extraction method based on scale-invariant feature transform(SIFT),and then the Hausdorff distance was used as the fitness function to seek for geometric image transformation parameters with the help of genetic algorithm(GA). At last,the image to be registered was re-sampled by using the transformation parameters and matched with the references image. The experimental results show that,compared with the traditional method of Hausdorff distance,the new method has higher registration accuracy and stability, and is more suitable for image registration.
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