Multimodal Data Fusion for Synthetic Aperture Radar (SAR) Image Processing
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 773
Special Issue Editors
Interests: SAR target detection; SAR target classification; SAR image processing with deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: radar signal processing; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: target detection and recognition; few-shot learning; domain adaptive learning; intelligent interpretation in SAR and optical remote-sensing images
Special Issue Information
Dear Colleagues,
Remote Sensing is pleased to announce a Special Issue dedicated to multimodal data fusion for synthetic aperture radar (SAR) image processing. SAR technology, renowned for all-weather imaging capabilities, faces challenges in complex environments due to its inherent limitations in texture for the special scattering mechanism. Integrating SAR with complementary modalities—such as optical, infrared, hyperspectral, and automatic identification system (AIS) data—promises transformative advancements in remote sensing applications.
This Special Issue seeks original research contributions exploring multimodal fusion techniques, including the following:
- Optical–SAR fusion: Enhancing object detection and scene understanding by combining SAR's all-weather robustness with optical imagery's high-resolution details.
- Infrared–SAR fusion: Improving target recognition in low-visibility conditions by leveraging thermal signatures from infrared data.
- Hyperspectral–SAR fusion: Enabling material classification and environmental monitoring through spectral-SAR synergy.
- AIS–SAR fusion: Advancing maritime surveillance by fusing SAR ship detection with AIS-derived vessel motion data.
Key applications include fusion-based detection, classification, image enhancement, and precise geolocation. We encourage submissions addressing novel methodologies, fusion frameworks, and real-world applications such as urban monitoring, disaster response, and maritime security.
We encourage submissions of both regular research papers and reviews on topics including, but not limited to, the following:
- Multimodal fusion architectures (e.g., deep learning, feature-level fusion);
- Cross-modal domain adaptation and transfer learning;
- Fusion applications in object detection, terrain classification, and change analysis;
- Performance evaluation and benchmark datasets.
This Special Issue aims to foster interdisciplinary collaboration, bridging remote sensing, computer vision, and SAR image processing.
Dr. Ronghui Zhan
Dr. Zongyong Cui
Dr. Shiqi Chen
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
- SAR
- ship targets
- target tracking
- object detection
- SAR interpretation
- SAR recognition
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
