Remote Sensing Intelligent Interpretation in the Era of Large Models and Intelligent Agents: New Challenges, Methods and Opportunities
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 29
Special Issue Editors
Interests: intelligent interpretation of multimodal remote sensing data; intelligent agent design and applications
Interests: Intelligent interpretation of multimodal remote sensing data; intelligent agent design and applications
Interests: optical remote sensing image; multimodal remote sensing; data fusion; foundation models; object detection; semantic segmentation
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent interpretation of remote sensing images; agent technology and applications
Interests: computer vision; pattern recognition; remote sensing image interpretation; object detection; image pretraining; cross-modal image–text retrieval
Special Issues, Collections and Topics in MDPI journals
Interests: land-cover mapping; weakly supervised learning; earth observation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid advancement of large language models (LLMs) and intelligent agents has ushered in a transformative era for remote sensing applications. These cutting-edge technologies are revolutionizing how we process, analyze, and interpret vast amounts of Earth observation data. They enable unprecedented capabilities in automated feature extraction, pattern recognition, and decision-making processes. The integration of foundation models with remote sensing workflows presents remarkable opportunities alongside significant challenges that demand innovative methodological approaches and interdisciplinary collaboration.
This Special Issue aims to explore the intersection of large models and intelligent agents with remote sensing intelligent interpretation. We focus on how these technologies can enhance our understanding of Earth systems while overcoming existing limitations in data processing, model generalization, and real-world deployment. The scope aligns with the Remote Sensing journal's mission to advance cutting-edge research in Earth observation technologies and their applications across environmental, agricultural, urban, and climate studies.
We invite original research articles, comprehensive reviews, and technical notes addressing, but not limited to, the following topics:
- Foundation models for remote sensing image analysis and interpretation
- Multi-modal large models integrating optical, SAR, and hyperspectral data
- Intelligent agents for autonomous Earth observation systems
- Transfer learning and domain adaptation in remote sensing applications
- Prompt engineering and fine-tuning strategies for geospatial tasks
- Challenges in model interpretability and uncertainty quantification
- Real-time processing and edge computing solutions
- Ethical considerations and bias mitigation in AI-driven remote sensing
- Novel architectures for spatio-temporal data analysis
- Applications in disaster monitoring, climate change, and sustainable development
Prof. Dr. Lei Wang
Dr. Xiyu Qi
Dr. Yongqiang Mao
Dr. Xiaoxuan Liu
Dr. Zicong Zhu
Dr. Zhuohong Li
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- large language models (LLMs)
- intelligent agents
- remote sensing
- foundation models
- multi-modal learning
- earth observation
- transfer learning
- multi-modal learning
- spatio-temporal analysis
- sustainable development
- geospatial tasks
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