Volume 40 Issue 2
Feb.  2015
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Huang Motao, Ouyang Yongzhong, Liu Min, ZHai Guojun, Deng Kailiang. Regularization of Point-Mass Model for Multi-Source Gravity Data Fusion Processing[J]. Geomatics and Information Science of Wuhan University, 2015, 40(2): 170-175.
Citation: Huang Motao, Ouyang Yongzhong, Liu Min, ZHai Guojun, Deng Kailiang. Regularization of Point-Mass Model for Multi-Source Gravity Data Fusion Processing[J]. Geomatics and Information Science of Wuhan University, 2015, 40(2): 170-175.
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Regularization of Point-Mass Model for Multi-Source Gravity Data Fusion Processing

  • 1Navel Institute of Hydrographic Surveying and C'harting Tianjin 300061 China;2School of Geodesy and Geomatics Wuhan University Wuhan 430079 China;3Institute of Geospatial Information Information Engineering University Zhengzhou 450001 China

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  • Received Date: April 28, 2013
  • Published Date: February 04, 2015
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    • Abstract
  • Tikhonov regularization is introduced into the point-mass method to solve the ill-posed problem in fusion processing of multi-source gravity data. A point-mass model is regularized，and a modified regularization point-mass model is proposed. Finally，a sea-borne gravity data set and an airborne gravity data set from EUM2008 model are used as a case study to test the efficiency of regularization point-mass. Results show that the modified method can inhibit the amplifying effect of measurement errors due to the small singular values of iill-posed coefficient matrix，and thus improve the precision and stability of point-mass solutions.
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