图像匹配；点特征提取；分频道相关；手动匹配；自动匹配

As the shooting time, shooting angle, the natural environment changes, the use of a variety of sensors and sensor's own shortcomings, so that images taken not only by the noise impact, and there is a serious distortion and geometric distortion of gray.Under such conditions, the matching algorithm how to achieve high accuracy, high rate of matching the correct speed, robustness and immunity to interference as well as the parallel implementation become the goal. In the image matching system, the matching algorithm is essential.At present, the domestic and foreign researchers on the image matching has launched a lot of research work, made a lot of image matching methods, and achieved good results.Generally divided into two gray-based matching and feature-based matching method two categories, based on gray correlation matching algorithm is a treat in order to match the image pixel gray-scale array of a certain size the window by one or a few similarMeasure sequential search matching method, the performance of these algorithms depends primarily on similarity measure and the choice of search strategy.Feature-based matching method, the class method first from the pending registration of the image feature extraction, using similarity measure and a number of constraints to determine the geometric transformation, the transformation acting on the final image to be matched.Match the characteristics of common edges, contour, line, points of interest, color, texture and so on. This article details the ideological point of feature extraction, using Moravec operator, Forstner operator experimental analysis of each test image is obtained experimental results, also introduced the relevant sub-channel matching principle, the algorithm under test by three Gauss and laplaciantower structure of two images.Finally, a manual matching and automatic matching combination of ideas, aerial photograph with a group of relative as the test object, to achieve the same tomorrow as the match point.This final chapter will briefly with C #. NET development of software installation and function.