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An improved method of joint inversion using GPS and gravity observation data

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Geo-spatial Information Science

Abstract

On the basis of the dislocation theory and gravity observation, a joint inversion model is presented with a fitting factor λ scaling amplitudes between the gravity and GPS observation data. The test results show that the new joint model is better than that taking the scale factor λ as a constant from the inversion result of MSE (mean square error). In addition, the random cost method used in the inversion algorithm is revised and improved, which shows that the improved random cost method can easily get the local minimum value and greatly decrease the iteration steps.

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Authors and Affiliations

  1. National Geomatics Center of China, 1 Baishengeun, Zizhuyuan, 100044, Haidian District, Beijing, China

    Li Zhicai Ph.D.

  2. Key Laboratory of Geospace Environment and Geodesy, Ministry of Eduction, School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, 430079, Wuhan, China

    Li Zhicai Ph.D.

Authors
  1. Li Zhicai Ph.D.
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  2. Xu Caijun
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Additional information

Project supported by Program for New Century Excellent Talents in University (No. NCET-04-0681); Hubel Province Excellent Young Sciencisit Foundation (No. 2002AC011); the National Natural Science Foundation of China (No. 40344023) Fund of Key Laboratory of Geodesy and Dynamic, Institute of Geodesy and Geophysics, Chinese Academy of Science (No. L04-02); and Open Research Fund Program of the Key Laboratory of Geospace Environment and Geodesy, Ministry of Education. China (No. 905276031-04-08, 950276031-04-10).

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Zhicai, L., Caijun, X. An improved method of joint inversion using GPS and gravity observation data. Geo-spat. Inf. Sci. 8, 225–229 (2005). https://doi.org/10.1007/BF02826826

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  • DOI: https://doi.org/10.1007/BF02826826

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