What is it about?
In this paper, we propose an enhanced multi-view vertical line locus (EMVLL) matching algorithm based on positioning consistency for aerial or space images. Experimental results show that the EMVLL method successfully solves the problems associated with the TMVLL (traditional multi-view vertical line locus) method, and has greater reliability, accuracy and computing efficiency.
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Why is it important?
The algorithm considers multi-view image matching of the ground primitive with known object space plane coordinates and follows the traditional vertical line locus method. The proposed method uses synthetic object space information of the ground primitive and image space information of multi-view images, and fuses the processes of multi-view image matching and correctness validation of the matching result. These improvements aim to address the three defects of traditional VLL matching methods.
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This page is a summary of: An enhanced multi-view vertical line locus matching algorithm of object space ground primitives based on positioning consistency for aerial and space images, ISPRS Journal of Photogrammetry and Remote Sensing, May 2018, Elsevier, DOI: 10.1016/j.isprsjprs.2018.03.017.
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