ZHOU Yueyin, PAN Guorong, WU Ting, WANG Dachao. Influence on Selection of Data Fusion Model to Overall Adjustment in Industrial Measurement[J]. Geomatics and Information Science of Wuhan University, 2017, 42(12): 1840-1846. DOI: 10.13203/j.whugis20150450
Citation: ZHOU Yueyin, PAN Guorong, WU Ting, WANG Dachao. Influence on Selection of Data Fusion Model to Overall Adjustment in Industrial Measurement[J]. Geomatics and Information Science of Wuhan University, 2017, 42(12): 1840-1846. DOI: 10.13203/j.whugis20150450

Influence on Selection of Data Fusion Model to Overall Adjustment in Industrial Measurement

Funds: 

The Fundamental Research Funds for the Central Universities 

China Special Fund for Surveying, Mapping and Geoinformation Research in the Public Interest HY14122136

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  • Author Bio:

    ZHOU Yueyin, PhD candidate, specializes in industrial measurement data fusion. E-mail: ag-yue@163.com

  • Corresponding author:

    PAN Guorong, PhD, professor. E-mail: pgr2@163.com

  • Received Date: February 27, 2016
  • Published Date: December 04, 2017
  • In industrial measurement, the coordinate measurement error of the traditional moving station measurement will accumulate constantly with the increase of number of stations, which leads to the uncontrollability of the measurement accuracy. Based on the original observations and the coordinate observations respectively, this paper proposes two methods of data fusion of the overall adjustment in which the point precision is both higher and more stable than the traditional moving station measurement. Experiments show that the fusion results won't be completely equivalent within different fusion methods even if the mathematical model and stochastic model are equivalent. In order to get more reliable accuracy of coordinates of unknown points, we should choose different fusion methods based on the specific situation in practical application.
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