Gravity Predictions in Data-Missing Areas Using Machine Learning Methods

Gravity Predictions in Data-Missing Areas Using Machine Learning Methods

Gravity data, comprising a key foundational dataset, are crucial for various research, including land subsidence monitoring, geological exploration, and navigational positioning. However, the collection of gravity data in specific regions is difficult because of environmental, technical, and economi...

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Bibliographic Details
Main Authors: Yubin Liu, Yi Zhang, Qipei Pang, Sulan Liu, Shaobo Li, Xuguo Shi, Shaofeng Bian, Yunlong Wu
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Remote Sensing
Subjects:
gravity data prediction
machine learning
random forest
recurrent neural network
support vector machine
Online Access:https://www.mdpi.com/2072-4292/16/22/4173
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