HF Radar Remote Sensing from Coastal to Offshore Platforms: Monitoring Marine Environments and Detecting Surface Targets
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ocean Remote Sensing".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 119
Special Issue Editors
Interests: radar signal processing; ocean remote sensing; target detection and tracking
Interests: mapping of oceanic surface parameters via high-frequency ground wave radar; X-band marine radar; global navigation satellite systems reflectometry (GNSS-R)
Special Issues, Collections and Topics in MDPI journals
Interests: signal processing; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
High-frequency (HF) surface wave radar is a unique and critical remote sensing tool for marine observation. Leveraging the diffraction characteristics of electromagnetic signals along the sea surface, it enables all-weather, wide-area monitoring of key marine environmental parameters, such as waves, currents, and winds, as well as the detection of surface targets including vessels. These detailed and sustained observations are fundamental for advancing maritime safety, operational sea-state forecasting, and the study of mesoscale oceanic phenomena. While HF radars have been extensively deployed along coastlines worldwide, there is a growing and urgent need to expand their application onto diverse offshore platforms, such as oil platforms, buoys, islands, and autonomous vehicles, to meet evolving technological and operational demands in ocean observation.
This Special Issue will compile the latest research advances and innovative applications in High-Frequency (HF) Radar remote sensing, with a specific focus on systems deployed from coastal to offshore platforms. We seek contributions that address the unique opportunities and challenges presented by these diverse deployment scenarios. Topics of interest include, but are not limited to, novel algorithms for retrieving marine environmental parameters (currents, waves, winds) and detecting surface targets (vessels, icebergs), signal processing techniques for mobile or compact platforms, data integration and assimilation methods, and new scientific or operational applications that leverage the persistent, wide-area monitoring capabilities of HF radar networks.
Potential topics include the following:
- Sea state inversion (e.g., waves, currents, winds);
- Applications of machine learning in sea state inversion (e.g., currents, waves) from radar backscatter data;
- Advanced signal processing and machine learning techniques for target detection, tracking, and classification;
- Marine data quality control and evaluation;
- Synergistic use of HF radar and platform-based data for validation, gap-filling, and enhanced monitoring systems;
- Technological innovations in compact, low-power, or bistatic/MIMO HF radar systems;
- Challenges and solutions for deploying HF radar on non-traditional platforms, such as oil and gas platforms, buoys, islands, autonomous vehicles, or ships.
Dr. Yingwei Tian
Prof. Dr. Weimin Huang
Dr. Haijian Zhang
Dr. Jiurui Zhao
Guest Editors
Manuscript Submission Information
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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
- HF radar
- target detection and tracking
- sea state inversion
- data quality control and evaluation
- offshore platforms
- multi-source data fusion
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