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 B7
页码：111-116
出版社：Copernicus Publications
摘要：As an important step and technical nodus of synthetic aperture radar (SAR) image applications, image match is an important process in which the corresponding relations of pixel points between many SAR images can be got. Usually, the accuracy of image match directly affects the next operations of SAR images. Nowadays, image match methods can be mainly divided into two kinds: one is based on region and the other one on characteristic. The former usually uses normalization cross-correlation as a matching measure, so these methods aren't good enough to meet the requirements of SAR images or multisensor image match. And the latter mainly uses common characteristics from two images to make image match. Generally speaking, point characteristics are affected by noises much more. Given the coherent speckle noises of SAR images, it is better to make image match using edge or outline characteristics. Considering these problems, a new match method and flow of SAR image pairs based on edge detection and "virtual epipolar" are proposed and researched in this paper. First of all, a new edge detector, combined by Canny operator and Ratio operator, is used to generate edge information. In order to improve the matching speed and quantitatively analyze the results, some edge points with more obvious characteristics are obtained by Moravec operator which can be regarded as a base points set. Next, in order to find the corresponding points faster, a search strategy based on "virtual epipolar" is proposed and established. In the third step, using edge information combined with gray-level information of the image as the matching measure, the corresponding points are searched along the "virtual epipolar" line. To get rid of the wrong corresponding points, a quadratic polynomial method is used. At last, experiments have been conducted on airborne SAR image pairs with 1m resolution in Chengdu, China. As a result, the match method based on edge detection and "virtual epipolar" line studied in this paper is feasible, and the matching accuracy and velocity have improved much more than some other methods
