An enhanced multi-view vertical line locus matching algorithm of object space ground primitives based on positioning consistency for aerial and space images

作者：Zhang, Ka^*; Sheng, Yehua; Wang, Meizhen; Fu, Suxia

来源：ISPRS Journal of Photogrammetry and Remote Sensing, 2018, 139: 241-254.

DOI：10.1016/j.isprsjprs.2018.03.017

• Multi-view image matching
• Object space ground primitive
• Positioning consistency
• Vertical line locus

The traditional multi-view vertical line locus (TMVLL) matching method is an object-space-based method that is commonly used to directly acquire spatial 3D coordinates of ground objects in photogrammetry. However, the TMVLL method can only obtain one elevation and lacks an accurate means of validating the matching results. In this paper, we propose an enhanced multi-view vertical line locus (EMVLL) matching algorithm based on positioning consistency for aerial or space images. The algorithm involves three components: confirming candidate pixels of the ground primitive in the base image, multi-view image matching based on the object space constraints for all candidate pixels, and validating the consistency of the object space coordinates with the multi-view matching result. The proposed algorithm was tested using actual aerial images and space images. Experimental results show that the EMVLL method successfully solves the problems associated with the TMVLL method, and has greater reliability, accuracy and computing efficiency.

• 出版日期2018-5
• 单位南京师范大学