Application of Hybrid Attention Mechanisms in Lithological Classification with Multisource Data: A Case Study from the Altay Orogenic Belt

Application of Hybrid Attention Mechanisms in Lithological Classification with Multisource Data: A Case Study from the Altay Orogenic Belt

Multisource data fusion technology integrates the strengths of various data sources, addressing the limitations of relying on a single source. Therefore, it has been widely applied in fields such as lithological classification and mineral exploration. However, traditional deep learning algorithms fa...

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Bibliographic Details
Main Authors: Dong Li, Jinlin Wang, Kefa Zhou, Jiantao Bi, Qing Zhang, Wei Wang, Guangjun Qu, Chao Li, Heshun Qiu, Tao Liao, Chong Zhao, Yingpeng Lu
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Remote Sensing
Subjects:
geological big data
multisource data fusion
hybrid attention
lithological classification
Online Access:https://www.mdpi.com/2072-4292/16/21/3958
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