Multilanguage Transformer for Improved Text to Remote Sensing Image Retrieval-Reference-Cited by-同舟云学术

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Multilanguage Transformer for Improved Text to Remote Sensing Image Retrieval

Published:2022 Issue: Volume:15 Page:9115-9126
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Rahhal Mohamad M. Al¹^ORCID,Bazi Yakoub²^ORCID,Alsharif Norah A.²^ORCID,Bashmal Laila²,Alajlan Naif²^ORCID,Melgani Farid³^ORCID

Affiliation:

1. Applied Computer Science Department, College of Applied Computer Science, King Saud University, Riyadh, Saudi Arabia

2. Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

3. Department of Information Engineering and Computer Science, University of Trento, Trento, Italy

Funder

Researchers Supporting Project

King Saud University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9656571/09925582.pdf?arnumber=9925582

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2. A Multi-modal Interaction Approach to Enhance Natural Language Descriptions of Remote Sensing Images;2024 International Conference on Machine Intelligence and Digital Applications;2024-05-30

3. Prediction of Diffuse Attenuation Coefficient Based on Informer: A Case Study of Hangzhou Bay and Beibu Gulf;Water;2024-04-29

4. ChangeCLIP: Remote sensing change detection with multimodal vision-language representation learning;ISPRS Journal of Photogrammetry and Remote Sensing;2024-02

5. Enhancing Document Image Retrieval in Education: Leveraging Ensemble-Based Document Image Retrieval Systems for Improved Precision;Applied Sciences;2024-01-16

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