A Novel Attention-Based Early Fusion Multi-Modal CNN Approach to Identify Soil Erosion Based on Unmanned Aerial Vehicle-Reference-Cited by-同舟云学术

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A Novel Attention-Based Early Fusion Multi-Modal CNN Approach to Identify Soil Erosion Based on Unmanned Aerial Vehicle

Published:2024 Issue: Volume:12 Page:95152-95164
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Miao Sheng¹^ORCID,Liu Yufeng¹,Liu Zitong¹^ORCID,Shen Xiang²^ORCID,Liu Chao³^ORCID,Gao Weijun⁴^ORCID

Affiliation:

1. School of Information and Control Engineering, Qingdao University of Technology, Qingdao, China

2. Department of Statistics, The George Washington University, Washington, DC, USA

3. School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao, China

4. Faculty of Environmental Engineering, The University of Kitakyushu, Kitakyushu, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10589657.pdf?arnumber=10589657

Reference44 articles.

1. Land use and climate change impacts on global soil erosion by water (2015-2070)

2. Soil and the intensification of agriculture for global food security

3. Prioritization of water erosion–prone sub-watersheds using three ensemble methods in Qareaghaj catchment, southern Iran

4. Countries and the global rate of soil erosion

5. Soil indicators for sustainable development: A transdisciplinary approach for indicator development using expert stakeholders

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