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针对SAR立体影像间几何畸变对影像匹配的影响,该文提出一种自适应窗口的SAR立体影像匹配方法。首先引入外部粗分辨率DEM,根据影像参数和DEM高程精度约束匹配搜索范围。然后采用归一化互相关和测度进行辅影像匹配窗口自适应扩展匹配,以保证主辅影像匹配窗口内的灰度信息一致;归一化互相关和值最大时的辅影像匹配窗口为最佳匹配窗口,最佳匹配窗口的中心点为获取的匹配点。最后利用双向一致性约束剔除误匹配点。试验结果表明,本文方法在山地区域能有效地增加正确匹配点数量,提高匹配正确率。
Aiming at the influence of geometric distortion between SAR stereo images on the image matching, this paper presents a SAR stereo image matching method based on adaptive windows. First, the external coarse resolution DEM is introduced to match the search range according to the image parameters and DEM elevation accuracy constraints. Then the normalized cross-correlation and measure are used to adaptively extend the matching of the secondary image matching window to ensure that the gray information in the primary and secondary image matching windows are consistent. The normalized cross-correlation and the secondary image matching window with the maximum value are the best Matching window, the best match the center of the window to obtain the matching point. Finally, the bidirectional consistency constraint is used to eliminate the mismatch points. The experimental results show that this method can effectively increase the number of correct matching points and improve the matching accuracy in mountainous areas.