Advanced Multi-Sensor Fusion and Intelligent Data Processing in Remote Sensing
A Special Issue of Remote Sensing (ISSN 2072-4292) belonging to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 31 October 2026 | Viewed by 821
Editors
Interests: 3D scene reconstruction; LiDAR remote sensing; visual-LiDAR SLAM; intelligent spatial perception; neural rendering for remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; deep learning; high-resolution image; infrastructure monitoring
Special Issues, Collections and Topics in MDPI journals
2. Department of Civil and Environmental Engineering (CEE), The Hong Kong Polytechnic University, Hong Kong, China
Interests: dynamic engineering surveying; multi-sensor fusion; SLAM-based monitoring; precision geospatial analytics; structural health assessment
Special Issue Information
Dear Colleagues,
The rapid proliferation of satellite, aerial, and terrestrial platforms has led to an explosion of multi-source remote sensing (RS) data, including high-resolution optical imagery, Synthetic Aperture Radar (SAR), LiDAR point clouds, hyperspectral data, and thermal infrared signals. While single-sensor analysis has matured, the increasing complexity of Earth observation tasks—ranging from urban digitalization to environmental resilience—demands the seamless integration of heterogeneous data. Multi-sensor fusion offers a synergistic approach to overcome the inherent limitations of individual sensors, providing enhanced spatial, spectral, and temporal resolutions.
This Special Issue, "Advanced Multi-Sensor Fusion and Intelligent Data Processing in Remote Sensing," aims to showcase cutting-edge methodologies and practical applications that leverage multi-modal data synergy. We are particularly interested in the transition from traditional fusion techniques to AI-driven intelligent processing. With the emergence of Foundation Models, Multimodal Large Language Models (MLLMs), and Generative AI, the capability to interpret complex planetary data has reached new heights. This issue seeks to bridge the gap between advanced signal processing and modern machine learning to provide robust solutions for global challenges.
We invite high-quality original research and review articles that address, but are not limited to, the following topics:
- Multi-Modal Data Fusion: Innovative frameworks for pixel-, feature-, and decision-level fusion of SAR, optical, LiDAR, and IR data.
- Intelligent Algorithms: Application of Transformers, Graph Neural Networks (GNNs), and Foundation Models in multi-source RS interpretation.
- Cross-Modal Learning: Techniques for cross-modal retrieval, domain adaptation, and self-supervised learning with heterogeneous RS data.
- High-Precision Registration: Advanced methods for the spatial and temporal alignment of multi-platform and multi-scale datasets.
- Intelligent Infrastructure & Urban Monitoring: Utilizing fusion for structural health monitoring, 3D urban reconstruction, and smart city applications.
- Environmental & Disaster Response: Rapid change detection and impact assessment using multi-sensor synergies during extreme weather or natural hazards.
- On-board & Real-time Processing: Efficient algorithms for intelligent data reduction and fusion at the edge (UAVs/SmallSats).
Dr. Bing Wang
Dr. Yuansheng Hua
Dr. Fanyi Meng
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-anonymized 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
- multi-sensor fusion
- intelligent data processing
- deep learning
- foundation models
- multi-modal learning
- SAR-optical integration
- LiDAR
- urban remote sensing
- feature extraction
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