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Downward continuation of airborne gravimetry data based on Poisson integral iteration method 被引量:1

Downward continuation of airborne gravimetry data based on Poisson integral iteration method
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摘要 The research and application of airborne gravimetry technology has become one of the hottest topics in gravity field in recent years. Downward continuation is one of the key steps in airborne gravimetry data processing, and the quality of continuation results directly influence the further application of surveying data. The Poisson integral iteration method is proposed in this paper, and the modified Poisson integral discretization formulae are also introduced in the downward continuation of airborne gravimerty data. For the test area in this paper, compared with traditional Poisson integral discretization formula, the continuation result of modified formulae is improved by 10.8 mGal, and the precision of Poisson integral iteration method is in the same amplitude as modified formulae. So the Poisson integral iteration method can reduce the discretization error of Poisson integral formula effectively. Therefore, the research achievements in this paper can be applied directly in the data processing of our country's airborne scalar and vector gravimetry. The research and application of airborne gravimetry technology has become one of the hottest topics in gravity field in recent years. Downward continuation is one of the key steps in airborne gravimetry data processing, and the quality of continuation results directly influence the further application of surveying data. The Poisson integral iteration method is proposed in this paper, and the modified Poisson integral discretization formulae are also introduced in the downward continuation of airborne gravimerty data. For the test area in this paper, compared with traditional Poisson integral discretization formula, the continuation result of modified formulae is improved by 10.8 mGal, and the precision of Poisson integral iteration method is in the same amplitude as modified formulae. So the Poisson integral iteration method can reduce the discretization error of Poisson integral formula effectively. Therefore, the research achievements in this paper can be applied directly in the data processing of our country's airborne scalar and vector gravimetry.
出处 《Geodesy and Geodynamics》 2017年第4期273-277,共5页 大地测量与地球动力学(英文版)
基金 supported by the open foundation of State Key Laboratory of Geodesy and Earth's Dynamics(SKLGED2017-1-1-E) the National Natural Science Foundation of China(41304022, 41504018,41404020) the National 973 Foundation(61322201, 2013CB733303) the open foundation of Military Key Laboratory of Surveying,Mapping and Navigation of Engineering,Information Engineering University
关键词 Airborne gravimetry Downward continuation Poisson integral Gravity anomaly Discretization Airborne gravimetry Downward continuation Poisson integral Gravity anomaly Discretization
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