Robust Total Least Squares Estimation of Space Intersection Appropriate for Multi-images

doi:10.11947/j.AGCS.2017.20160081

Abstract

Abstract: In order to take full advantage of available observation resources, based on theory of space intersection with stereo images, by conducting weighted quadratic sum of spatial distance from the target point to multiple space lines as the objective function and carrying out its first as well as second derivatives, robust total least squares estimation of space intersection appropriate for multi-images was realized. Compared to stereopair, more observed information and theories of robust estimation were considered in the process of space intersection with multi-images, bringing about higher intersection accuracy and robustness. Finally, correctness and robustness of the method was verified though example analysis, which can enrich the space intersection theory in photogrammetry to some degree.

Key words: photogrammetry, multi-images, space intersection, spatial distance, total least squares method, reweighting iteration method

CLC Number:

P231

LI Zhongmei, BIAN Shaofeng, QU Yong. Robust Total Least Squares Estimation of Space Intersection Appropriate for Multi-images[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(5): 593-604.

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