摘要
DSM的自动提取是“数字摄影测量”的最重要技术之一,其关键就是全自动影像匹配。其主要难点表现在:纹理信息缺乏、重复纹理、深度断裂与阴影、较大的投影变形等。为更好地解决上述问题,本文提出了基于特征点匹配与边缘线匹配相结合的方法。实验表明无论对山区还是城区都取得了很好的效果,证实了该方法在实际应用中的有效性。
DSM extraction is one of the most important techniques in photogrammetry and remote sensing. Full-automatic image matching is the key problem and has many difficulties: poor and repetitive texture, terrain discontinuity, shadow, occlusion and projective deformation etc. To resolve those problems mentioned above, in this paper the authors propose a global matching method based on combination of feature point and feature edge. The experiments indicate that good results have been obtained in both mountain and urban area and prove this way is validate in practice.
出处
《测绘科学》
CSCD
北大核心
2007年第4期96-97,共2页
Science of Surveying and Mapping
关键词
DSM自动提取
边缘提取
特征点匹配
边缘线匹配
整体匹配
automatic DSM extraction
edge extraction
feature point matching
edge matching
global matching