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Underwater Acoustic Sensors and Applications-2nd Edition

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

Deadline for manuscript submissions: 1 May 2024 | Viewed by 740

Special Issue Editor


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Guest Editor
Instituto Español de Oceanografía (IEO), Mixed unit UPV-IEO, Paranimf 1,46730 Grau de Gandia, València, Spain
Interests: acoustics; underwater acoustics; underwater noise pollution; passive acoustics; acoustic piezoelectric sensors
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Underwater acoustic sensors play a relevant role in several fields of knowledge in relation to the underwater environment. Underwater acoustics has been revealed as a useful tool with countless applications, allowing studies of biomass calculations for fishing purposes, ecological assessment in relation to noise pollution, bioacoustic studies related to marine mammals, or soundscape assessment using acoustic indicators, among other applications. In addition, the technology of engineering applications is constantly evolving, ranging from underwater wireless communications to positioning systems with high accuracy. The evaluation of underwater noise and the study of its influence on the environment have become a subject of high priority during the last few years thanks to the efforts of organizations and public institutions like the World Health Organization, the International Maritime Organization or the European Union through the implementation of Marine Strategy Frameworok Directive (2017/56/EC; hereafter MSFD).

The main objective of this issue is to compile research activities, developments, and new applications in the field of underwater acoustics sensors and signal processing techniques.
Articles could include, but are not limited to, the following topics:

  • New developments in monitoring passive acoustic systems;
  • Activities on new metrics related to underwater noise assessment;
  • The calibration of passive acoustic devices, especially at low frequencies;
  • Signal processing techniques related to underwater noise applications;
  • Monitoring systems applied to bioacoustics studies (from marine mammals to soundscape studies);
  • The development of particle motion devices (from measuring to calibration standards proposals);
  • Industrial applications of underwater acoustic devices;
  • Biomass estimation and activities related to the monitoring of fish farms using ultrasound projectors/receivers;
  • Mitigation measurements linked to impulsive noise;
  • Activities linked to the standardization of ship noise signature measurements. 

Dr. Manuel Bou-Cabo
Guest Editor

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.

Keywords

  • underwater acoustics
  • calibration of acoustic sensors
  • underwater noise pollution assessment
  • marine strategy framework directive implementation (related to D11 descriptor)
  • underwater wireless communication
  • piezoelectric transducers
  • affection of noise to the marine environment
  • application of underwater acoustics to human activities on the sea

Published Papers (1 paper)

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Research

21 pages, 17373 KiB  
Article
A Dual Robust Strategy for Removing Outliers in Multi-Beam Sounding to Improve Seabed Terrain Quality Estimation
by Ping Zhou, Jifa Chen and Shengping Wang
Sensors 2024, 24(5), 1476; https://doi.org/10.3390/s24051476 - 24 Feb 2024
Viewed by 469
Abstract
During the process of seabed terrain exploration using a multi-beam echo system, it is inevitable to obtain a sounding set containing anomalous points. Conventional methods for eliminating outliers are unable to reduce the disruption caused by outliers over the whole dataset. Furthermore, incomplete [...] Read more.
During the process of seabed terrain exploration using a multi-beam echo system, it is inevitable to obtain a sounding set containing anomalous points. Conventional methods for eliminating outliers are unable to reduce the disruption caused by outliers over the whole dataset. Furthermore, incomplete consideration is given to the terrain complexity, error magnitude, and outlier distribution. In order to achieve both a high-precision terrain quality estimate and quick detection of depth anomalies, this study suggests a dual robust technique. Firstly, a robust polyhedral function is utilized to solve anomaly detection for large errors. Secondly, the robust kriging algorithm is used for refined outlier removal. Ultimately, the process of dual detection and anomaly removal is achieved. The experimental results demonstrate that DRS technology has the most favorable mean square error and error fluctuation range in the test set, with values of 0.8321 and [−2.0582, 1.9209], respectively, when compared to RPF, WT, GF, and WLS-SVM schemes. Furthermore, DRS is able to adjust to various terrain complexities, discrete distribution features, and cluster outlier detection, as shown by objective indicators and visual outcome maps, guaranteeing a high-quality seabed terrain estimate. Full article
(This article belongs to the Special Issue Underwater Acoustic Sensors and Applications-2nd Edition)
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