EarthGPT: A Universal Multimodal Large Language Model for Multisensor Image Comprehension in Remote Sensing Domain-Reference-Cited by-同舟云学术

EarthGPT: A Universal Multimodal Large Language Model for Multisensor Image Comprehension in Remote Sensing Domain

Published:2024 Issue: Volume:62 Page:1-20
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhang Wei¹^ORCID,Cai Miaoxin²^ORCID,Zhang Tong²^ORCID,Zhuang Yin²,Mao Xuerui¹

Affiliation:

1. Advanced Research Institute of Multidisciplinary Sciences and the School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China

2. National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China

Funder

National Natural Science Foundation of China

General Program of National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10547418.pdf?arnumber=10547418

Reference104 articles.

1. Deep learning in remote sensing applications: A meta-analysis and review

2. Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

3. Consecutive Pre-Training: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain

4. VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning

5. BLIP-2: Bootstrapping language-image pre-training with frozen image encoders and large language models;Li;arXiv:2301.12597,2023

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. Change detection of multisource remote sensing images: a review;International Journal of Digital Earth;2024-09-09