Global–Local Information Soft-Alignment for Cross-Modal Remote-Sensing Image

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Global–Local Information Soft-Alignment for Cross-Modal Remote-Sensing Image–Text Retrieval

Published:2024 Issue: Volume:62 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:

Hu Gang¹,Wen Zaidao¹^ORCID,Lv Yafei²^ORCID,Zhang Jianting²,Wu Qian³^ORCID

Affiliation:

1. Key Laboratory of Information Fusion Technology of Ministry of Education, Northwestern Polytechnical University, Xi’an, China

2. Naval Research Institute of PLA, Beijing, China

3. Institute of Information and Navigation, Air Force Engineering University, Xi’an, China

Funder

National Natural Science Foundation of China

Natural Science Basic Research Plan in Shaanxi Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10530286.pdf?arnumber=10530286

Reference62 articles.

1. Big Earth data: disruptive changes in Earth observation data management and analysis?

2. Remote sensing big data computing: Challenges and opportunities

3. Big Data for Remote Sensing: Challenges and Opportunities

4. PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval

5. Exploiting Deep Features for Remote Sensing Image Retrieval: A Systematic Investigation

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