提出一种综合利用像方和物方信息的多影像匹配方法。首先对各原始影像采用3×3像元平均法生成4层金字塔影像,并在最高层金字塔影像中计算各搜索影像与基准影像的初始视差;然后从第3层金字塔影像开始进行基准影像与各搜索影像的匹配,并对各立体像对的匹配结果进行物方融合,剔除部分误匹配点,获得较精确的物方空间信息,以用于下一层金字塔影像的匹配。此过程融入带几何约束条件的相关系数法匹配和整体松弛法匹配策略;最后通过对某地区一组大重叠度数码航空影像的匹配试验,证实该方法的有效性。通过检测所生成的DSM精度,表明相对于传统的双片影像匹配方法,多影像的匹配可以有效剔除误匹配点并显著提高影像匹配的成功率。
A novel method is introduced for multi-image matching by synthesizing image and space information.Four level pyramid images are generated firstly according to the rule that the next level pyramid is generated from the previous level using the average gray values of the 3×3 pixels,and the first level pyramid is generated from the original image.The initial horizontal parallaxes between the reference image and each searching image are calculated in the highest pyramid level.Then corresponding image points are...