Radar Sensing and Intelligent Recognitions: Algorithms, Data and Advanced Applications
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 1323
Special Issue Editors
Interests: radar
Interests: parallel computing; mathematical problems; electromagnetic numerical simulation
Special Issues, Collections and Topics in MDPI journals
Interests: 3D SAR imaging; computational imaging; sparse signal processing; electronic countermeasure reconnaissance
Special Issues, Collections and Topics in MDPI journals
Interests: ocean remote sensing
Interests: array antenna theory and technology; adaptive signal processing; target detection and tracking; electromagnetic field and microwave technology
Special Issue Information
Dear Colleagues,
Radar systems have emerged as essential tools for sensing and surveillance, playing a critical role in various civil applications. These systems offer a robust and adaptable means for microwave remote sensing of terrestrial and marine environments, as well as for the detection and tracking of various targets. In recent years, significant advancements have been made in radar technology, particularly in the realms of radar echo signal acquisition and target signal processing based on artificial intelligent (AI) techniques. These developments have greatly enhanced the precision and effectiveness of radar systems. Despite these breakthroughs, however, a number of challenges remain in certain critical areas. Among these are environmental and target scattering, intelligent radar-based target detection, radar imaging capabilities, and the integration of novel technologies into radar systems. Addressing these challenges is essential for further improving radar performance and expanding its capabilities. The current trajectory of radar research is primarily characterized by three major trends：
(a) Scattering data simulation techniques for microwave remote sensing of land/sea environments;
(b) High-resolution radar imaging technology for target characterization;
(c) Artificial intelligence-based radar perception techniques.
This column will focus on an in-depth exploration of these three themes. Submissions of innovative research results in related areas are highly welcomed.
Machine learning has revolutionized radar sensing by enabling adaptive feature extraction and pattern recognition, fostering applications such as intelligent target classification and cognitive electronic warfare. Nevertheless, the full potential of machine learning in land/sea environment perception and target detection/recognition remains to be further explored. This Special Issue highlights pioneering research on radar echo acquisition, signal processing algorithms, AI, and emerging applications. We sincerely invite submissions addressing open challenges in radar sensing and intelligent recognition topics showcasing innovations in microwave remote sensing of land/sea environments, security surveillance, target detection, and target identification.
Contributions discussing major challenges, the latest developments, and state-of-the-art advances in this field are highly encouraged.
Potential topics include, but are not limited to, the following topics:
- Radar scattering and its application for remote sensing: scattering simulation and target characteristics;
- Ocean remote sensing: sea clutter and its characteristics analysed by AI;
- Intelligent radar sensing: algorithms and applications;
- Multi-dimensional radar sensing: advances in systems and algorithms;
- Intelligent processing for extracting latent information from radar echoes;
- Three-dimensional SAR/InSAR imaging with artificial intelligence and machine learning-based approaches;
- MIMO and multistatic/distributed radar systems, schemes, and data processing techniques;
- Intelligent radar imaging in model-driven learning;
- Generative radar signal processing.
Dr. Wei Yang
Dr. Tiaojie Xiao
Dr. Mou Wang
Dr. Conghui Qi
Dr. Shiwen Lei
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 scattering characteristics
- ocean remote sensing
- intelligent recognitions from radar data
- radar data processing
- artificial intelligence-based radar perception techniques
- SAR 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.
