Vision–Language Multimodal Learning for Remote Sensing and Geospatial Artificial Intelligence
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 15 August 2026 | Viewed by 362
Special Issue Editors
Interests: geospatial AI; spatio-temporal AI; intelligent transportation; vision–language multimodal; UAV low-altitude intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: GeoAI; urban monitoring
Special Issues, Collections and Topics in MDPI journals
Interests: multi-modal remote sensing learning; disaster assessment
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent remote sensing scene interpretation; urban spatial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing image processing and understanding; multimodal remote sensing data fusion and analysis; artificial intelligence; foundation models
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The field of Earth observation (EO) is witnessing an explosion of data acquired from diverse platforms, including satellites, aircraft, unmanned aerial vehicles (UAVs), autonomous vehicles, and surveillance cameras. While these datasets provide rich spatial information, a significant gap remains between complex visual imagery and human understanding. Recent breakthroughs in vision–language multimodal learning and multimodal large language models (MLLMs) have revolutionized this landscape. By leveraging powerful cross-modal alignment techniques, we can now translate intricate remote sensing scenes into actionable linguistic insights. These advancements are critical for moving beyond traditional remote sensing image interpretation toward intelligent, conversational, and reasoning-based Earth observation, making this research area vital for the future of geospatial artificial intelligence (GeoAI).
This Special Issue aims to explore the latest developments, datasets, challenges, and practical applications of multimodal learning in remote sensing and geospatial artificial intelligence (GeoAI). By focusing on cutting-edge techniques in multimodal learning and GeoAI methodologies, it seeks to promote the development of vision–language tasks and multimodal datasets, as well as the design of advanced vision–language alignment techniques and multimodal large language models (MLLMs). Data can span a wide range of geospatial scenarios, including, for example, satellites, aircraft, unmanned aerial vehicles (UAVs), autonomous vehicles, surveillance cameras, maritime vessels, and intelligent transportation systems.
This Special Issue welcomes submissions of papers that explore innovative algorithms, models, technologies and datasets in the fields of visual language multimodal and geospatial models, as well as practical applications. Articles may address topics including (but not limited to) the following:
- Multimodal tasks (e.g., visual grounding, text-to-image retrieval, visual question answering);
- Multimodal perception for RS images, UAV images, or street view images;
- Large language models (LLMs) and vision–language models (VLMs) in GeoAI;
- Multimodal large language models for reasoning, perception, decision-making, and planning;
- The application of remote sensing multi-modal learning (e.g., disaster emergency response);
- Benchmarks, datasets, and evaluation metrics for multimodal remote sensing in geospatial foundation models.
Dr. Yang Zhan
Dr. Xiuyuan Zhang
Dr. Ailong Ma
Prof. Dr. Qiqi Zhu
Dr. Xiaoyan Lu
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 250 words) can be sent to the Editorial Office for assessment.
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
- vision–language multimodal learning
- geospatial artificial intelligence
- multimodal alignment
- multimodal large language models
- earth observation
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