Application of the method of robust estimation by posterior variance in detecting the raw error of geodetic control network

  • Affiliations:

    Hanoi University of Mining and Geology, Hanoi, Vietnam

  • *Corresponding:
    phamQuoc This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Received: 19th-Nov-2020
  • Revised: 17th-Mar-2021
  • Accepted: 9th-Apr-2021
  • Online: 30th-Apr-2021
Pages: 57 - 64
Views: 2710
Downloads: 1101
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Abstract:

If the raw error appears in set of measuring data, it affects significantly on adjustment results and displacement values of monitoring points, thus conclusion about displacement of works is incorrect. The method of robust estimation by posterior variance for detecting the raw error bases on principle of choosing weight of robust estimation, this is the other type that belong to the least square statistical estimation, which is used to process the measuring data with raw error when they were given into random model of the adjustment problem. Through processing data of Son La hydroelectricity construction network, the obtained result proved that the method good efficiency, it not only finds the measuring value that contains the raw error, but also determines the value of the raw error nearly accurately, moreover, it is able to detect many raw error in the set of data.

How to Cite
Pham, K.Quoc and Nguyen, T.Kim Thi 2021. Application of the method of robust estimation by posterior variance in detecting the raw error of geodetic control network (in Vietnamese). Journal of Mining and Earth Sciences. 62, 2 (Apr, 2021), 57-64. DOI:https://doi.org/10.46326/JMES.2021.62(2).06.
References

Baselga, S., (2007). Global optimization solution of robust estimation. Journal of Surveying Engineering-ASCE, 133(3). 

Guo, J., Ou, J., Wang, H., (2010). Robust estimation for correlated observations: Two local sensitivity-based downweighting strategies. J. Geod. 84, 243-250.

Li Deren, Yuan Xiuli, (2012). Error Processing and Reliability Theory. Wuhan university Press, (in Chinese).

Luu. A. T., Le. N. G., (2016). Application of robust estimation in geodetic network. International symposium on geo-spatial and mobile mapping technologies and summer school for mobile mapping technology, 213-218.

Pham. Q. K., (2016). Research on methods used for detecting geodetic non-random errors based on adjustment canculus. International symposium on geo-spatial and mobile mapping technologies and summer school for mobile mapping technology, 55-59.

Wang Xinzhou, Tao Benzao,Qiu Weining, Yao Yibin, (2006). Advanced surveying adjustment. Surveying and Mapping Publishing House, (in Chinese).

Wang, Y, Zhu, X. X., (2016). Robust Estimators for Multipass SAR Interferometry. IEEE Trans. Geosci. Remote. Sens. 54, 968-980.

Yang Yuanxi, Xu Tianhe, Song Lijie, (2005). Robust estimation of variance components with application in global positioning system network adjustment. Journal of Surveying Engineering, 131(4).

Yetkin, M., (2018). Application of robust estimation in geodesy using the harmony search algorithm. J. Spat. Sci., 63, 63-73.

Yetkin, M., Berber, M., (2014). Implementation of robust estimation in GPS networks using the Artificial Bee Colony algorithm. Earth Sci. Inform. 7, 39-46

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