Deep multimodal fusion for 3D mineral prospectivity modeling: Integration of geological models and simulation data via canonical-correlated joint fusion networks-Reference-Cited by-同舟云学术

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Deep multimodal fusion for 3D mineral prospectivity modeling: Integration of geological models and simulation data via canonical-correlated joint fusion networks

Published:2024-06 Issue: Volume:188 Page:105618
ISSN:0098-3004
Container-title:Computers & Geosciences
language:en
Short-container-title:Computers & Geosciences

Author:

Zheng Yang,Deng Hao^ORCID,Wu Jingjie,Xie Shaofeng,Li Xinyue,Chen Yudong,Li Nan,Xiao Keyan,Pfeifer Norbert,Mao Xiancheng

Funder

Natural Science Foundation of Hunan Province

National Natural Science Foundation of China

National Key Research and Development Program of China

Science and Technology Program of Hunan Province

Publisher

Elsevier BV

Reference117 articles.

1. Integration of various geophysical data with geological and geochemical data to determine additional drilling for copper exploration;Abedi;J. Appl. Geophys.,2012

2. Measuring the performance of mineral-potential maps;Agterberg;Nat. Resour. Res.,2005

3. A kernel method for canonical correlation analysis;Akaho,2006

4. Deep canonical correlation analysis;Andrew,2013

5. Multi-view CCA-based acoustic features for phonetic recognition across speakers and domains;Arora,2013

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