An Airborne Gravity Gradient Compensation Method Based on Convolutional and Long Short-Term Memory Neural Networks

An Airborne Gravity Gradient Compensation Method Based on Convolutional and Long Short-Term Memory Neural Networks

As gravity exploration technology advances, gravity gradient measurement is becoming an increasingly important method for gravity detection. Airborne gravity gradient measurement is widely used in fields such as resource exploration, mineral detection, and oil and gas exploration. However, the motio...

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Bibliographic Details
Main Authors: Shuai Zhou, Changcheng Yang, Yi Cheng, Jian Jiao
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
gravity gradient
deep learning
long short-term memory
convolution
post-error compensation
Online Access:https://www.mdpi.com/1424-8220/25/2/421
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