三角网约束的航空影像直线匹配方法

Feature Line Matching Algorithm for Aerial Image Based on Triangle Constraint

针对航空影像直线匹配缺乏有效约束的难点问题,提出了一种三角网约束的立体影像直线匹配方法。该方法在SIFT匹配获取同名点和LSD直线提取结果的基础上,首先利用同名点构建的左右影像上同名三角网约束直线匹配的搜索范围;再利用核线约束确定待匹配直线和候选直线的重叠部分,以此建立左右影像上直线支持区;然后根据斜率约束和支持区内灰度的相似性测度确定同名直线;最后利用双向一致性检核剔除错误匹配。利用该算法对典型区域数字航空影像进行直线匹配实验,并与现有方法进行对比分析。结果表明,该方法能获取可靠的直线匹配结果。

A feature line matching algorithm for stereo image based on a triangle constraint is proposed in this paper to explore its matching accuracy and reliability. Based on the same points obtained through SIFT matching and results through LSD,the algorithm first constrains the searching scope of feature line matching by the same triangle on the L-R（Left-Right） images based upon the same points, and then fix the overlapping part of the feature lines to be matching and Ihe canditate feature lines by epipolar constraint so as to build the feature line supported area on the L R image. The third step is to fix the same feature line according to the slope constraint and the similarity measure of gray level in the supportive area. At last, the faulty matching is eliminated according to double faces constraint. The algorithm in this paper,when applied to the feature line matching experiment for the digital aerial image of certain typical area and compared with current algorithms,prow, s to be able to obtain reliable feature line matching result.