摘要
讨论一个摄影测量网络的三维自动重建。其中，重点讨论了无需相似性量测的多片影像匹配。该匹配算法包括了所有影像作为参考影像的连续考虑和整个网络同时匹配。本文中，三维坐标矢量只用于剔除多余候选点，对精度提高无任何贡献。本方法的精度是通过子像素的特征点提取和多片交会得到的。
This paper deals with automatic reconstruction of a digital multi ray photogrammetric network, which comprises multiple nodes, each node indicating one object point and its corresponding multiple imaging rays. In the automatic reconstruction, a novel multi image matching (MIM) technique without similarity measurement is proposed. The technique includes consecutive consideration of all images as reference images. In the proposed strategy, matching accuracy is enhanced by sub pixel interest point extraction and multi ray traingulation.
出处
《武汉测绘科技大学学报》
CSCD
1998年第4期383-387,共5页
Geomatics and Information Science of Wuhan University
关键词
多片影像匹配
核曲线链
整体质量控制
摄影测量
multi image matching
automatic object reconstruction
epipolar curve chains
global quality control
accuracy
