Single-Stream Extractor Network With Contrastive Pre-Training for Remote-Sensing Change Captioning-Reference-Cited by-同舟云学术

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Single-Stream Extractor Network With Contrastive Pre-Training for Remote-Sensing Change Captioning

Published:2024 Issue: Volume:62 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:

Zhou Qing¹^ORCID,Gao Junyu¹^ORCID,Yuan Yuan¹^ORCID,Wang Qi¹^ORCID

Affiliation:

1. School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10530145.pdf?arnumber=10530145

Reference56 articles.

1. Urbanization in India – Spatiotemporal analysis using remote sensing data

2. The use of multisource satellite and geospatial data to study the effect of urbanization on primary productivity in the United States

3. Dynamics Monitoring and Disaster Assessment for Watershed Management Using Time-Series Satellite Images

4. Difference-Guided Aggregation Network With Multiimage Pixel Contrast for Change Detection

5. Application of Remote Sensing in Water Resource Management: The Case Study of Lake Trasimeno, Italy

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Accelerate spatiotemporal fusion for large-scale applications;International Journal of Applied Earth Observation and Geoinformation;2024-05

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