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Multi-parameter adjustment for high-precision azimuthal intersection positioning

The traditional azimuthal intersection method is viable for situations with only two control stations but a simple height averaging is not rigorous because the intersections vary in their distances from the two stations. In order to obtain the high-precision azimuthal intersections, this study prese...

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Detalles Bibliográficos
Autores principales: Ai, Songtao, Wang, Shansi, Li, Yuansheng, Liu, Leibao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334477/
https://www.ncbi.nlm.nih.gov/pubmed/32642452
http://dx.doi.org/10.1016/j.mex.2020.100968
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author Ai, Songtao
Wang, Shansi
Li, Yuansheng
Liu, Leibao
author_facet Ai, Songtao
Wang, Shansi
Li, Yuansheng
Liu, Leibao
author_sort Ai, Songtao
collection PubMed
description The traditional azimuthal intersection method is viable for situations with only two control stations but a simple height averaging is not rigorous because the intersections vary in their distances from the two stations. In order to obtain the high-precision azimuthal intersections, this study presented a multi-parameter adjustment method, together with the Earth curvature correction and the atmospheric refraction correction models. This method is robust with varied distances between the control stations and the targeted intersections, without limitation of station quantity. • Based on the traditional space intersection, a multi-parameter adjustment model is added into the data processing for high-precision 3D positioning. • Both the Earth curvature error correction model and the atmospheric error correction model are included in the multi-parameter adjustment model, so the intersected points are more accurate than traditional intersections.
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spelling pubmed-73344772020-07-07 Multi-parameter adjustment for high-precision azimuthal intersection positioning Ai, Songtao Wang, Shansi Li, Yuansheng Liu, Leibao MethodsX Earth and Planetary Science The traditional azimuthal intersection method is viable for situations with only two control stations but a simple height averaging is not rigorous because the intersections vary in their distances from the two stations. In order to obtain the high-precision azimuthal intersections, this study presented a multi-parameter adjustment method, together with the Earth curvature correction and the atmospheric refraction correction models. This method is robust with varied distances between the control stations and the targeted intersections, without limitation of station quantity. • Based on the traditional space intersection, a multi-parameter adjustment model is added into the data processing for high-precision 3D positioning. • Both the Earth curvature error correction model and the atmospheric error correction model are included in the multi-parameter adjustment model, so the intersected points are more accurate than traditional intersections. Elsevier 2020-06-20 /pmc/articles/PMC7334477/ /pubmed/32642452 http://dx.doi.org/10.1016/j.mex.2020.100968 Text en © 2020 The Author(s). Published by Elsevier B.V. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Earth and Planetary Science
Ai, Songtao
Wang, Shansi
Li, Yuansheng
Liu, Leibao
Multi-parameter adjustment for high-precision azimuthal intersection positioning
title Multi-parameter adjustment for high-precision azimuthal intersection positioning
title_full Multi-parameter adjustment for high-precision azimuthal intersection positioning
title_fullStr Multi-parameter adjustment for high-precision azimuthal intersection positioning
title_full_unstemmed Multi-parameter adjustment for high-precision azimuthal intersection positioning
title_short Multi-parameter adjustment for high-precision azimuthal intersection positioning
title_sort multi-parameter adjustment for high-precision azimuthal intersection positioning
topic Earth and Planetary Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334477/
https://www.ncbi.nlm.nih.gov/pubmed/32642452
http://dx.doi.org/10.1016/j.mex.2020.100968
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