Deep-Learning Gravity Inversion Method with Depth-Weighting Constraints and Its Application in Geothermal Exploration

Deep-Learning Gravity Inversion Method with Depth-Weighting Constraints and Its Application in Geothermal Exploration

As a key component of remote-sensing technology, satellite gravity observation offers extensive coverage and high accuracy, effectively compensating for the shortcomings of terrestrial gravity measurements. Three-dimensional gravity data inversion can predict the physical property and spatial distri...

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Bibliographic Details
Main Authors: Shuai Zhou, Yue Wei, Pengyu Lu, Jian Jiao, Hongfa Jia
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Remote Sensing
Subjects:
physical constraint
depth-weighting function
deep learning
gravity data
physical property inversion
Online Access:https://www.mdpi.com/2072-4292/16/23/4467
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