Genetic Algorithm-based Remote Sensing Image Registration

Image registration is an important analysis and processing technique, which located a image area from another image area or find out the correspondence between them, where the images taken at different times, by different sensors, or by different viewpoints from the same scene. Image registration technique is used in a wide-range areas, such as navigation and location, object recognition ,movement analysis, stereo vision, data fusion, change detection. It is the base of these images processing techniques. The difficulty of designing registration algorithm lies in the variety of scene styles and variety of imaging variations between images. How to design an algorithm which works with high adaptability, high precision and rapid computing efficiency is the kernel study topic. And remote image registration which belonging to image registration is a technique which best matching two or more images at space place from the same area, where the images taken at different times or taken by different sensors. Similitude to image registration, the key problem of remote image registration is how to find out the best correspondence or mathematic transformation between two images, this problem is a kind of typical problem which finding the best parameters, and genetic algorithm is one of the algorithms which can solve the problem. In this paper, the study of remote image registration based on genetic algorithm is had. According to the goal which discussing and studying the probability, the study is spread in the three parts of this paper.In the first part of the paper, image registration problem as a whole is analysed and discussed. The mathematics description of image registration problem, factors the affect registration performance, framework to design image registration algorithm including feature space, similarity merits, search space and search algorithm are detailed sequentially. The ideas to divide the variation into four styles and divide a registration algorithm into four factors are the director to design a matching algorithm. The theory of image registration is the basis of this paper.In the second part of this paper, genetic algorithm is briefly introduced, the processing and the factor of it is also expatiated, And the trait of it is discussed. Genetic algorithm is the basis of the algorithm used in the paper.In the third part of the paper, under the goal of remote image registration, genetic algorithm which differing from traditional algorithms is tested, following this, the reading and writing of remote image is detailed. According to the specific problem, genetic algorithm is designed and optimized. Finally, genetic algorithm and correlation method are compared. This part is the emphases and difficulty part of the paper.Finally, the author's ideas and advices to extend study are given in the chapter of tag.