Integrating Forward Modeling and Deep Learning for Precise Detection of Geological Anomalies in Coal Seams Using the Radio Imaging Method

Integrating Forward Modeling and Deep Learning for Precise Detection of Geological Anomalies in Coal Seams Using the Radio Imaging Method

The radio imaging method (RIM) is a non-destructive detection technique widely used in geophysical surveys and monitoring. However, it currently faces challenges in accurately detecting geological anomalies. To enhance detection accuracy, we propose a novel approach that integrates forward modeling...

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Bibliographic Details
Main Authors: Shun Yang, Yanqing Wu, Yinan Zhao, Mingwei Liu, Peng Lu, Zhifang Liu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Deep learning
forward modeling
geological anomaly prediction
precise detection
radio imaging method
Online Access:https://ieeexplore.ieee.org/document/10685413/
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https://ieeexplore.ieee.org/document/10685413/

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