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.
[1] Fonseca L M G,Manjunath B S.Registration techniques for multisensor remotely sensed imagery[J].Photogrammetric Engineering and Remote Sensing,1996,62(9):1049-1056.[2] Huttenlocher D P,Klanderman G A,Rucklidge W A.Comparing images using the Hausdorff distance[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1993,15(9):850-863.[3] Huttenlocher D P,Rucklidge W J.A multi-resolution technique for comparing images using the Hausdorff distance[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1993,26(14):705-706.[4] Dubuisson M P,Jain A K.A modified Hausdorff distance for object matching[C]//Proceedings of 12th International Conference on Pattern Recognition.Jerusalem,Israel,1994:566-568.[5] Sim D G,Kwon O K,Park R H.Object matching algorithms using robust Hausdorff distance measures[J].IEEE Transactions on Image Processing,1998,8(3):425-429.[6] Lowe D G.Distinctive image features from scale-invariant keypoints[J].International Journal of Computer Vision,2004,60(2):91-110.[7] Holland J H.Adaptation in natural and artificial systems[M].Ann Arbor:University of Michigan Press,1975:30-58.[8] 沈大伟,段会川.基于LTS Hausdorff距离与遗传算法的图像配准方法[J].电子技术应用,2007,33(7):64-66. Shen D W,Duan H C.An image registration method based on LTS Hausdorff distance and genetic algorithm[J].Application of Electronic Technique,2007,33(7):64-66.[9] 百度百科.特征提取[EB/OL].[2013-04-06].http://baike.baidu.com/view/2086290.htm.[10] 百度百科.SIFT变换[EB/OL].[2013-04-06].http://baike.baidu.com/view/2832304.htm.[11] 百度百科.遗传算法[EB/OL].[2013-04-06].http://baike.baidu.com/view/45853.htm.
2014, Vol. 26 
