CAJ | 학술논문

针对数字摄影测量中密集匹配问题，提出一种三角网约束与金字塔策略相结合的影像匹配方法。该方法在每层金字塔影像中提取特征点，利用金字塔上层影像的匹配结果构建Delaunay三角网，约束和指导金字塔下层影像的匹配；金字塔策略本身体现由粗到精的匹配过程，而Delaunay三角网能有效地将上层匹配结果作为约束传递到下层影像。实验结果证明，文中方法生成的密集匹配点云密度大、误匹配少、精度高，能有效地反映地貌特征。
침대수자섭영측량중밀집필배문제，제출일충삼각망약속여금자탑책략상결합적영상필배방법。해방법재매층금자탑영상중제취특정점，이용금자탑상층영상적필배결과구건Delaunay삼각망，약속화지도금자탑하층영상적필배；금자탑책략본신체현유조도정적필배과정，이Delaunay삼각망능유효지장상층필배결과작위약속전체도하층영상。실험결과증명，문중방법생성적밀집필배점운밀도대、오필배소、정도고，능유효지반영지모특정。
Focusing on dense matching in photogrammetry ,an image matching method by combing the triangle network constraint with pyramid strategy has been proposed in this paper .Firstly ,feature points are extracted in each layer ,and then image matching is done under the constraint of a Delaunay triangle network ,which has been constructed by the matching result of a higher layer .The pyramid strategy itself shows a coarse‐to‐fine process and meanwhile Delaunay triangle network can pass a powerful match control from the higher layer to the lower layer .Experiments shows that the proposed method can get a reliable ,high‐accuracy and dense match result and the generated point cloud can describe the topography well .