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Comprehensive Detection of Gas Plumes from Multibeam Water Column Images with Minimisation of Noise Interferences
Multibeam echosounder systems (MBES) can record backscatter strengths of gas plumes in the water column (WC) images that may be an indicator of possible occurrence of gas at certain depths. Manual or automatic detection is generally adopted in finding gas plumes, but frequently results in low effici...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751054/ https://www.ncbi.nlm.nih.gov/pubmed/29186014 http://dx.doi.org/10.3390/s17122755 |
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author | Zhao, Jianhu Meng, Junxia Zhang, Hongmei Wang, Shiqi |
author_facet | Zhao, Jianhu Meng, Junxia Zhang, Hongmei Wang, Shiqi |
author_sort | Zhao, Jianhu |
collection | PubMed |
description | Multibeam echosounder systems (MBES) can record backscatter strengths of gas plumes in the water column (WC) images that may be an indicator of possible occurrence of gas at certain depths. Manual or automatic detection is generally adopted in finding gas plumes, but frequently results in low efficiency and high false detection rates because of WC images that are polluted by noise. To improve the efficiency and reliability of the detection, a comprehensive detection method is proposed in this paper. In the proposed method, the characteristics of WC background noise are first analyzed and given. Then, the mean standard deviation threshold segmentations are respectively used for the denoising of time-angle and depth-angle images, an intersection operation is performed for the two segmented images to further weaken noise in the WC data, and the gas plumes in the WC data are detected from the intersection image by the morphological constraint. The proposed method was tested by conducting shallow-water and deepwater experiments. In these experiments, the detections were conducted automatically and higher correct detection rates than the traditional methods were achieved. The performance of the proposed method is analyzed and discussed. |
format | Online Article Text |
id | pubmed-5751054 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-57510542018-01-10 Comprehensive Detection of Gas Plumes from Multibeam Water Column Images with Minimisation of Noise Interferences Zhao, Jianhu Meng, Junxia Zhang, Hongmei Wang, Shiqi Sensors (Basel) Article Multibeam echosounder systems (MBES) can record backscatter strengths of gas plumes in the water column (WC) images that may be an indicator of possible occurrence of gas at certain depths. Manual or automatic detection is generally adopted in finding gas plumes, but frequently results in low efficiency and high false detection rates because of WC images that are polluted by noise. To improve the efficiency and reliability of the detection, a comprehensive detection method is proposed in this paper. In the proposed method, the characteristics of WC background noise are first analyzed and given. Then, the mean standard deviation threshold segmentations are respectively used for the denoising of time-angle and depth-angle images, an intersection operation is performed for the two segmented images to further weaken noise in the WC data, and the gas plumes in the WC data are detected from the intersection image by the morphological constraint. The proposed method was tested by conducting shallow-water and deepwater experiments. In these experiments, the detections were conducted automatically and higher correct detection rates than the traditional methods were achieved. The performance of the proposed method is analyzed and discussed. MDPI 2017-11-29 /pmc/articles/PMC5751054/ /pubmed/29186014 http://dx.doi.org/10.3390/s17122755 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhao, Jianhu Meng, Junxia Zhang, Hongmei Wang, Shiqi Comprehensive Detection of Gas Plumes from Multibeam Water Column Images with Minimisation of Noise Interferences |
title | Comprehensive Detection of Gas Plumes from Multibeam Water Column Images with Minimisation of Noise Interferences |
title_full | Comprehensive Detection of Gas Plumes from Multibeam Water Column Images with Minimisation of Noise Interferences |
title_fullStr | Comprehensive Detection of Gas Plumes from Multibeam Water Column Images with Minimisation of Noise Interferences |
title_full_unstemmed | Comprehensive Detection of Gas Plumes from Multibeam Water Column Images with Minimisation of Noise Interferences |
title_short | Comprehensive Detection of Gas Plumes from Multibeam Water Column Images with Minimisation of Noise Interferences |
title_sort | comprehensive detection of gas plumes from multibeam water column images with minimisation of noise interferences |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751054/ https://www.ncbi.nlm.nih.gov/pubmed/29186014 http://dx.doi.org/10.3390/s17122755 |
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