Remote-Sensing Interpretation for Soil Elements Using Adaptive Feature Fusion Network-Reference-Cited by-同舟云学术

Remote-Sensing Interpretation for Soil Elements Using Adaptive Feature Fusion Network

Published:2023 Issue: Volume:61 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Lu Yue¹^ORCID,He Kang²^ORCID,Xu Haoran³^ORCID,Dong Yusen³^ORCID,Han Wei³^ORCID,Wang Lizhe¹^ORCID,Liang Dong¹^ORCID

Affiliation:

1. International Research Center of Big Data for Sustainable Development Goals, Beijing, China

2. Key Laboratory of Geological Survey and Evaluation, Ministry of Education, China University of Geosciences, Wuhan, China

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

Funder

Open Research Program of the International Research Center of Big Data for Sustainable Development Goals

National Natural Science Foundation of China

Hubei Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10227372.pdf?arnumber=10227372

Reference53 articles.

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5. Geological remote sensing interpretation using deep learning feature and an adaptive multisource data fusion network;han;IEEE Trans Geosci Remote Sens,2021

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