Language Integration in Remote Sensing: Tasks, datasets, and future directions-Reference-Cited by-同舟云学术

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Language Integration in Remote Sensing: Tasks, datasets, and future directions

Published:2023-12 Issue:4 Volume:11 Page:63-93
ISSN:2168-6831
Container-title:IEEE Geoscience and Remote Sensing Magazine
language:
Short-container-title:IEEE Geosci. Remote Sens. Mag.

Author:

Bashmal Laila¹,Bazi Yakoub²^ORCID,Melgani Farid³^ORCID,Al Rahhal Mohamad M.⁴^ORCID,Al Zuair Mansour Abdulaziz⁵^ORCID

Affiliation:

1. King Saud University, Riyadh, Saudi Arabia

2. 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

4. College of Applied Computer Engineering, King Saud University, Riyadh, Saudi Arabia

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

Funder

Researchers Supporting Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,General Earth and Planetary Sciences,Instrumentation,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6245518/10367907/10278197.pdf?arnumber=10278197

Reference154 articles.

1. DOTA: A Large-Scale Dataset for Object Detection in Aerial Images

2. Remote Sensing Image Scene Classification: Benchmark and State of the Art

3. Vision Transformers for Remote Sensing Image Classification

4. A review of deep learning methods for semantic segmentation of remote sensing imagery

5. Towards natural language interfaces for interacting with remote sensing data;Martins,2022

Cited by 2 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. RS-LLaVA: A Large Vision-Language Model for Joint Captioning and Question Answering in Remote Sensing Imagery;Remote Sensing;2024-04-23

2. HCNet: Hierarchical Feature Aggregation and Cross-Modal Feature Alignment for Remote Sensing Image Captioning;IEEE Transactions on Geoscience and Remote Sensing;2024

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