Radar and Photo-Electronic Multi-Modal Intelligent Fusion
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 9
Special Issue Editors
Interests: radar imaging; remote sensing image interpretation; deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: radar imaging; target detection; SAR autofocus
Special Issues, Collections and Topics in MDPI journals
Interests: photo-electronics image/signal processing; infrared target detection
Interests: radar target detection; radar image interpretation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the past several decades, significant developments—such as rapid progress in radar and photo-electronic sensing technologies, radar signal processing, and remote sensing image interpretation—have been achieved. The performance of object detection, for example, has skyrocketed from approximately 30 percent in mean average precision to more than 90 percent when using the PASCAL VOC benchmark. Likewise, the performance for radar target recognition with the MSTAR SAR dataset even achieved beyond 99%. These developments in signal processing and image interpretation influence significant impacts on a wide range of practical applications. The major driving force behind recent advances in radar and photo-electronic sensing technologies lies in the development of deep learning skills. These developments are powered by two crucial factors: large-scale datasets, and powerful platforms. The performance obtained in various fields sharply outperformed the engineering features. Although great successes have been achieved in previous works, there are still numerous challenges in the vertical field of remote sensing, especially in regard to practical applications. For example, it is infeasible to collect large amounts of radar data with label information; therefore, how to achieve better learning efficiency and inference results with limited sensor data remains challenging, in addition to the challenges around how to boost learning effectiveness with many more kinds of modal data. The aim of this Special Issue is to collect new solutions to these vertical fields. Topics of interests include, but are not limited to, the following:
- Fusion of multi-source radar data for environment monitoring and assessment, natural disaster warning, and evaluation (floods, landslides, etc.);
- Cross-modal data fusion for image interpretation, e.g., optical-SAR data fusion, or infrared and visible image fusion;
- Radar imaging driven by intelligence techniques, e.g., SAR imaging and interpretation driven by LLMs;
- Radar signal processing, co-driven by models and data;
- Artificial intelligence-powered signal processing, e.g., image dehazing, denoising, and retrieval.
The topic of this Special Issue is closely related to the vertical field of remote sensing, such as multi-modal fusion and understanding. The following themes are suggested: radar imaging; remote sensing image interpretation; infrared and visible image fusion; target detection and recognition; AI-powered signal processing.
Prof. Dr. Ganggang Dong
Prof. Dr. Xinhua Mao
Prof. Dr. Jianhua Shi
Dr. Xiaowei Hu
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
- radar signal processing
- photo-electronic image understanding
- target detection and recognition
- radar imaging
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.
