Geological Remote Sensing Interpretation Using Deep Learning Feature and an Adaptive Multisource Data Fusion Network-Reference-Cited by-同舟云学术

Geological Remote Sensing Interpretation Using Deep Learning Feature and an Adaptive Multisource Data Fusion Network

Published:2022 Issue: Volume:60 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Han Wei¹^ORCID,Li Jun¹^ORCID,Wang Sheng¹,Zhang Xinyu¹^ORCID,Dong Yusen¹^ORCID,Fan Runyu¹^ORCID,Zhang Xiaohan¹^ORCID,Wang Lizhe²^ORCID

Affiliation:

1. School of Computer Science and the Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China

2. School of Computer Science, the Hubei Key Laboratory of Intelligent Geo-Information Processing, and the Key Laboratory of Geological Survey and Evaluation of the Ministry of Education, China University of Geosciences, Wuhan, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities, China University of Geosciences, Wuhan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09795323.pdf?arnumber=9795323

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