sensors-logo

Journal Browser

Journal Browser

Selected Papers from the 2022 IEEE International Workshop on Metrology for the Sea

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Environmental Sensing".

Deadline for manuscript submissions: closed (31 May 2023) | Viewed by 2761

Special Issue Editors


E-Mail Website
Guest Editor
Department of Engineering, University of Messina, 98166 Messina, Italy
Interests: sensor development and characterization; sensor- based measurement systems; microwave characterization; biomedical sensors; gas sensor for health care and environmental monitoring
Special Issues, Collections and Topics in MDPI journals

E-Mail
Guest Editor
Department of Engineering, University of Messina, 98166 Messina, Italy
Interests: development and metrological characterization of sensors for environmental monitoring
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The 2022 IEEE International Workshop on Metrology for the Sea (https://www.metrosea.org/) will be held in Milazzo, Messina, Italy, on 3–5 October 2022.

The authors of papers presented at the workshop related to sensors are invited to submit extended versions of their work to this Special Issue for publication.

MetroSea aims to gather people who work on developing instrumentation and measurement methods for the sea. Attention is paid, but not limited, to new technology for sea environment monitoring, metrology-assisted production in sea industry, ship component measurement, sensors and associated signal conditioning for the sea, and calibration methods for electronic testing and measurement for marine applications.

Dr. Nicola Donato
Dr. Giovanni Gugliandolo
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. Sensors 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 2600 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.

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Jump to: Other

20 pages, 6399 KiB  
Article
Saliency-Aided Online RPCA for Moving Target Detection in Infrared Maritime Scenarios
by Osvaldo Pulpito, Nicola Acito, Marco Diani, Gabriele Ferri, Raffaele Grasso and Dimitris Zissis
Sensors 2023, 23(14), 6334; https://doi.org/10.3390/s23146334 - 12 Jul 2023
Cited by 1 | Viewed by 848
Abstract
Moving target detection (MTD) is a crucial task in computer vision applications. In this paper, we investigate the problem of detecting moving targets in infrared (IR) surveillance video sequences captured using a steady camera in a maritime setting. For this purpose, we employ [...] Read more.
Moving target detection (MTD) is a crucial task in computer vision applications. In this paper, we investigate the problem of detecting moving targets in infrared (IR) surveillance video sequences captured using a steady camera in a maritime setting. For this purpose, we employ robust principal component analysis (RPCA), which is an improvement of principal component analysis (PCA) that separates an input matrix into the following two matrices: a low-rank matrix that is representative, in our case study, of the slowly changing background, and a sparse matrix that is representative of the foreground. RPCA is usually implemented in a non-causal batch form. To pursue a real-time application, we tested an online implementation, which, unfortunately, was affected by the presence of the target in the scene during the initialization phase. Therefore, we improved the robustness by implementing a saliency-based strategy. The advantages offered by the resulting technique, which we called “saliency-aided online moving window RPCA” (S-OMW-RPCA) are the following: RPCA is implemented online; along with the temporal features exploited by RPCA, the spatial features are also taken into consideration by using a saliency filter; the results are robust against the condition of the scene during the initialization. Finally, we compare the performance of the proposed technique in terms of precision, recall, and execution time with that of an online RPCA, thus, showing the effectiveness of the saliency-based approach. Full article
Show Figures

Figure 1

Other

Jump to: Research

17 pages, 6913 KiB  
Concept Paper
The Smart Drifter Cluster: Monitoring Sea Currents and Marine Litter Transport Using Consumer IoT Technologies
by Silvia Merlino, Vincenzo Calabrò, Carlotta Giannelli, Lorenzo Marini, Marco Pagliai, Lorenzo Sacco and Marco Bianucci
Sensors 2023, 23(12), 5467; https://doi.org/10.3390/s23125467 - 09 Jun 2023
Cited by 1 | Viewed by 1165
Abstract
The study of marine Lagrangian transport holds significant importance from a scientific perspective as well as for practical applications such as environmental-pollution responses and prevention (e.g., oil spills, dispersion/accumulation of plastic debris, etc.). In this regard, this concept paper introduces the Smart Drifter [...] Read more.
The study of marine Lagrangian transport holds significant importance from a scientific perspective as well as for practical applications such as environmental-pollution responses and prevention (e.g., oil spills, dispersion/accumulation of plastic debris, etc.). In this regard, this concept paper introduces the Smart Drifter Cluster: an innovative approach that leverages modern “consumer” IoT technologies and notions. This approach enables the remote acquisition of information on Lagrangian transport and important ocean variables, similar to standard drifters. However, it offers potential benefits such as reduced hardware costs, minimal maintenance expenses, and significantly lower power consumption compared to systems relying on independent drifters with satellite communication. By combining low power consumption with an optimized, compact integrated marine photovoltaic system, the drifters achieve unlimited operational autonomy. With the introduction of these new characteristics, the Smart Drifter Cluster goes beyond its primary function of mesoscale monitoring of marine currents. It becomes readily applicable to numerous civil applications, including recovering individuals and materials at sea, addressing pollutant spills, and tracking the dispersion of marine litter. An additional advantage of this remote monitoring and sensing system is its open-source hardware and software architecture. This fosters a citizen-science approach, enabling citizens to replicate, utilize, and contribute to the improvement of the system. Thus, within certain constraints of procedures and protocols, citizens can actively contribute to the generation of valuable data in this critical field. Full article
Show Figures

Figure 1

Back to TopTop