Mapping Lithology with Hybrid Attention Mechanism–Long Short-Term Memory: A Hybrid Neural Network Approach Using Remote Sensing and Geophysical Data

Mapping Lithology with Hybrid Attention Mechanism–Long Short-Term Memory: A Hybrid Neural Network Approach Using Remote Sensing and Geophysical Data

Remote sensing provides an efficient roadmap in geological analysis and interpretation. However, some challenges arise when remote sensing techniques are integrated with machine learning in geological surveys. Factors including irregular spatial distribution, sample imbalance, interclass resemblance...

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Bibliographic Details
Main Authors: Michael Appiah-Twum, Wenbo Xu, Emmanuel Daanoba Sunkari
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
Subjects:
deep learning
hybrid attention mechanism
HAM-LSTM
lithological mapping
multisensor multispectral data
geophysical data
Online Access:https://www.mdpi.com/2072-4292/16/23/4613
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