Multimodal Learning for Intelligent Remote Sensing Interpretation
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 257
Special Issue Editors
Interests: remote sensing multi-modal intelligent interpretation
Special Issues, Collections and Topics in MDPI journals
Interests: computer vision; AIGC; AI safety; image processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Remote sensing interpretation is in an era of exponential data growth. Massive, multi-source and high-resolution remote sensing data provide unprecedented information for global environmental monitoring, resource management, disaster emergency response, urban planning, and other fields. Faced with complex and diverse application scenarios, single modal data is difficult to meet practical interpretation requirements.
Therefore, the combination of optical, SAR, multi-spectral image, and natural language description for remote sensing interpretation has become a hot spot. In recent years, proposed VLM models have promoted the improvement of model perception ability, but the cognitive understanding ability of multimodal data, such as multimodal data alignment, multitask optimization, complex spatio-temporal semantic understanding, multi-step reasoning, and intelligent decision-making, needs to be improved.
This Special Issue welcomes contributions that present innovative algorithms, models, and techniques in multimodal learning for intelligent remote sensing interpretation. Articles may address, but are not limited, to the following topics:
- Model architecture design;
- Cross-modal Retrieval;
- Multi-modal change-detection;
- Fine-grained object detection and recognition;
- Visual Grounding;
- Image Caption;
- Multi-task joint optimization;
- Multi-task for Image Recognition;
- Vision Language Model optimization;
- Open-vocabulary image recognition and segmentation.
Dr. Wenkai Zhang
Dr. Yue Zhang
Dr. Chen Wang
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
- AI algorithm
- VLM models
- cross-modal retrieval
- visual grounding
- image caption
- object detection and recognition
- semantic segmentation
- multi-modal change-detection
- spatio-temporal semantic understanding
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