高效高精度的反演算法在重力大数据时代背景下显得尤为重要, 受深度学习卓越的非线性映射
能力的启发, 本文提出了一种基于深度学习的重力异常及重力梯度异常的联合反演方法 …

重力数据包含较多的低频信息, 重力梯度数据包含较多的高频信息, 将重力数据和重力梯度数据
进行联合反演得到的结果更加可信. 本文基于聚焦反演方法, 实现了这一过程 …

In the era of big data, high-efficient and high-precise inversion algorithms of gravity data
become particularly important. Inspired by the excellent nonlinear mapping capability of …

Gravity data, which are critical in mineral, oil, and gas exploration, are obtained from the
vertical component of the gravity field, while gravity gradient data are measured from …

摘要重力垂直梯度能突出浅部地质目标, 具有较高的水平分辨率, 而重力异常则可以更好地保留
较深场源的信息, 重力与重力梯度联合勘探常用来获取不同深度场源的异常特征 …

Gravity data contains a wealth of low frequency contents and gravity gradient data contains
many high frequency contents. Thus, in theory, we can get a more reliable result through …

We present a novel algorithm to locate multiple underwater objects in real time using gravity
field vector and gravity gradient tensor signals. This algorithm formulates the task of …

Integrated gravity and gravity gradient 3-D inversion can effectively improve the resolution of
inversion results. This study aims to find a better way to extract geological information from …

Rotating accelerometer gravity gradiometer (RAGG) is an important instrument for auxiliary
navigation and mineral exploration. The turntable in RAGG modulates the gravity gradient …

Simulation tests were accomplished in this paper to evaluate the performance of gravity
matching aided navigation (GMAN). Four essential factors were focused in this study to …