中文摘要：

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。

英文摘要：

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 .