Research on 3D coordinate transformation model based on adaptive M-estimator

Junkai He; Mingfeng Li; Ding Tan; Junsheng Liu; Yefei Ge; Xingke Cao

doi:10.1117/12.3019613

23 January 2024 Research on 3D coordinate transformation model based on adaptive M-estimator

Junkai He, Mingfeng Li, Ding Tan, Junsheng Liu, Yefei Ge, Xingke Cao

Proceedings Volume 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023); 1297806 (2024) https://doi.org/10.1117/12.3019613
Event: 2023 4th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2023), 2023, wuhan, China

Abstract

To guarantee both efficiency and robustness of coordinate transformation, a 3D coordinate transformation model based on adaptive M-estimator is proposed. With the influence of the variance factor on the M-estimator in the coordinate transformation scene analyzed, the RW algorithm is improved to determine global optimal solution of variance factor, and the outliers are eliminated through the adaptive adjustment of the factor. Through the simulation experiment of a control network of mining area, it is indicated that the outliers are located by the adaptive model even under the high rate of outlier. In terms of accuracy, M-estimator is improved to reach or even exceed RANSAC algorithm by this method. As for efficiency, the performance of M-estimator is basically preserved, which is far better than RANSAC algorithm.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Junkai He, Mingfeng Li, Ding Tan, Junsheng Liu, Yefei Ge, and Xingke Cao "Research on 3D coordinate transformation model based on adaptive M-estimator", Proc. SPIE 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023), 1297806 (23 January 2024); https://doi.org/10.1117/12.3019613

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