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Special Issue "Application of Shore-Based, Sky-Based and Marine Radars to Ocean and Target Parameter Extraction"

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ocean Remote Sensing".

Deadline for manuscript submissions: 31 March 2024 | Viewed by 725

Special Issue Editors

Department of Electrical and Computer Engineering, Memorial University, St. John’s, NL, Canada
Interests: HF radar; ocean wave parameter and spectrum extraction; digital signal processing
Prof. Dr. Eric Gill
E-Mail Website
Guest Editor
Electrical Engineering Computer Engineering, Faculty of Engineering and Applied Science, St. John’s, NL, Canada
Interests: high frequency (HF) radiation; HF surface wave radar (HFSWR)

Special Issue Information

Dear Colleagues,

Over 65 years ago, Crombie observed the backscatter from HF radar transmitting at 13.5 MHz from the ocean surface and observed two dominant peaks in the Doppler spectrum, which were caused by Bragg scattering. Since that time, radar has often been used ocean monitoring, with new methodologies being introduced to extract ocean wave spectra and tide and wind information from backscattered radar data. In addition to HF radar, marine radar often operating at X-band frequencies have been used to monitor oceanographic parameters at higher resolutions, but usually over shorter ranges. Both radar modalities may also be used to monitor the presence of targets, such as ships or ice, in the ocean, as well as exact parameters of these targets, such as size, speed, and location.

This Special Issue aims to present new and cutting-edge research in the monitoring of targets such as ships and ice and their oceanographic parameters using various radar configurations, including sky-based radar and hardware. It also aims to collate new signal processing algorithms and methodologies to improve the accuracy of ocean surface and target parameter extraction data acquired using such radar systems.

Dr. Reza Shahidi
Prof. Dr. Eric Gill
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at 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.


  • HF radar
  • X-band radar
  • ocean wave parameters
  • doppler spectrum
  • target parameters
  • wave spectrum inversion
  • ocean surface currents
  • ocean surface winds

Published Papers (1 paper)

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Wind Direction Extraction from X-Band Marine Radar Images Based on the Attenuation Horizontal Component
Remote Sens. 2023, 15(16), 3959; - 10 Aug 2023
Viewed by 383
This paper presents a novel algorithm based on the attenuation horizontal component for wind direction retrieval from X-band marine radar images. The range dependence of radar return on the ocean surface can be presented in radar images, and the radar return decreases with [...] Read more.
This paper presents a novel algorithm based on the attenuation horizontal component for wind direction retrieval from X-band marine radar images. The range dependence of radar return on the ocean surface can be presented in radar images, and the radar return decreases with the increase in range. The traditional curve-fitting method averages the radar return of the whole range to retrieve the wind direction, but it is vulnerable to the interference of fixed objects and long-range low-intensity pixel points. For the pixels with the same range in the polar coordinates of the radar image, the ideal range attenuation model is derived by selecting the pixels with the highest intensity value. The ideal attenuation model is used to fit the attenuation data and calculate the attenuation horizontal component at each azimuth direction. To eliminate the effect of outliers, the iterative optimization method is used in the estimation of the attenuation horizontal component and the weights of the data are continuously updated. Finally, the wind direction is determined based on the azimuthal dependence of the attenuation horizontal component. This algorithm was tested using shipboard radar images and anemometer data collected in the East China Sea. The results show that, compared with the single curve-fitting method, the proposed algorithm can improve the wind direction retrieval accuracy in the case of more fixed targets. Under the condition of more fixed targets, the deviation and root mean square error are reduced by 16.3° and 16.2°, respectively. Full article
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