An improved multi-surface function method with residual constraint for the fusion of shipborne and satellite altimetry derived gravity data

被引：0
|
作者：
Zhao C. [1 ]
Jin T. [1 ,2 ,3 ]
Qin P. [4 ]
Yang L. [1 ]
机构：
[1] School of Geodesy and Geomatics, Wuhan University, Wuhan
[2] Hubei Luojia Laboratory, Wuhan
[3] Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan
[4] Guangzhou Marine Geological Survey, Guangzhou
来源：
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | 2023年 / 52卷 / 04期
基金：
中国国家自然科学基金;
关键词：
least square collocation; multi-surface function method; residual constraint; satellite altimetry; shipborne gravity;
D O I：
10.11947/j.AGCS.2023.20210444
中图分类号：
学科分类号：
摘要：
In order to obtain accurate regional gravity field, it is necessary to fuse multi-source gravity data. In this study, an improved analytical fusion method based on multi-surface functions by introducing residual constraint factors is proposed. Taken the surrounding the Japanese archipelago area as example, collecting the shipborne gravity data and satellite altimetry derived gravity field model, several factors which affect the accuracy of fusion results, including the block size, the quantity and distribution of the fused shipborne gravity data, are analyzed. And with optimal above factors, the fused results of the improved method are compared with those of the least square collocation method and the multi-surface function method. Compared to the shipborne gravity data for verification, the improved method with residual constraint has the best accuracy, as well as the smallest extreme values and standard deviations. Furthermore, the improved method reduced the discrepancy of two kinds of data near the control shipborne measuring points, and extrapolate to the other areas to improve the accuracy of satellite altimetry derived gravity model with reasonable distributed residuals. © 2023 SinoMaps Press. All rights reserved.
引用
收藏
页码：605 / 613
页数：8
相关论文
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