期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B1
页码：1157-1160
出版社：Copernicus Publications
摘要：Feature matching is to find the pair-wise corresponding features in the reference and sensed images. The features can be an edge, a corner, an end point, a line or a curve, etc. Image matching as the fore-step of image fusion and registration, image mosaic, automatic change detection, etc., the matching accuracy highly impacts these applications. Normally these applications require the matching accuracy to be sub-pixel. However, the matching unit of the feature-based methods is "one pixel". In this paper, after analyzing the image matching algorithm, an integrated method is proposed to detect the point features by the means of the combined advantages of Harris operator and F.rstner operator. With this method, the matching accuracy can reach sub-pixel. The thought of matching principle based on bridge mode method on initiate matching points is introduced, when matching feature points by the method of template matching and conformal transform, to eliminate the low precision effect on the following matching points. The effect is caused by the cumulated error due to the low precision of initiate matching points. The proposed method has been tested by three pairs of overlap SPOT images. These images were captured in the flat area, mountainous area, and in different time. The results show that the matching accuracy can reach sub-pixel, and the position is accurate with the method described in this paper. The method is also robust, effective, and suitable for realization of automatic image matching
