海洋测绘2018，Vol.38Issue(1)：1-4,17,5.DOI:10.3969/j.issn.1671-3044.2018.01.001
重力数据融合与重力垂直梯度异常反演
The Fusion of Gravity Data and Inversion of Gravity Vertical Gradient Anomaly
摘要
Abstract
Vertical gravity gradient anomalies reflect the spatial variability of gravity anomalies,and have been applied more and more in many subjects,such as geophysical exploration.In this paper,the shipborne gravimetric anomaly and the altimetry gravity anomaly from Sandwell are used in the South China Sea,and the Shepard algorithm is improved by comprehensively considering the search area,distance and precision.The gravity anomalies of resolution 1'× 1' in the South China Sea region (19°N～ 20.5°N,114°E ～ 115.5°E) are calculated,and the corresponding resolution of vertical gravity gradient anomalies is retrieved.The results show that the improved Shepard algorithm can better deal with data fusion of high-precision ship gravity and altimetry gravity,and details of the vertical gravity gradient anomalies are enhanced by comparing with single altimetry gravity data,and the resolution and accuracy of the inversion of gravity vertical gradient anomalies are improved.关键词
测高重力/船测重力/数据融合/Shepard算法改进/重力垂直梯度异常Key words
altimetry gravity/shipborne gravity/data fusion/improved Shepard algorithm/gravity vertical gradient anomaly分类
天文与地球科学引用本文复制引用
王虎彪,肖耀飞,武凛,柴华,王勇..重力数据融合与重力垂直梯度异常反演[J].海洋测绘,2018,38(1):1-4,17,5.基金项目
国家自然科学基金(41374086,41574073) （41374086,41574073）
国家测绘地理信息局测绘基础研究基金(14-01-07). （14-01-07）
