The University of Southampton
University of Southampton Institutional Repository

Optical flow-based detection of gas leaks from pipelines using multibeam water column images

Optical flow-based detection of gas leaks from pipelines using multibeam water column images
Optical flow-based detection of gas leaks from pipelines using multibeam water column images
In recent years, most multibeam echo sounders (MBESs) have been able to collect water column image (WCI) data while performing seabed topography measurements, providing effective data sources for gas-leakage detection. However, there can be systematic (e.g., sidelobe interference) or natural disturbances in the images, which may introduce challenges for automatic detection of gas leaks. In this paper, we design two data-processing schemes to estimate motion velocities based on the Farneback optical flow principle according to types of WCIs, including time-angle and depth-across track images. Moreover, by combining the estimated motion velocities with the amplitudes of the image pixels, several decision thresholds are used to eliminate interferences, such as the seabed, non-gas backscatters in the water column, etc. To verify the effectiveness of the proposed method, we simulated the scenarios of pipeline leakage in a pool and the Songhua Lake, Jilin Province, China, and used a HT300 PA MBES (it was developed by Harbin Engineering University and its operating frequency is 300 kHz) to collect acoustic data in static and dynamic conditions. The results show that the proposed method can automatically detect underwater leaking gases, and both data-processing schemes have similar detection performance.
multibeam echo sounder, water column image, gas emissions, automatic detection, optical flow
2072-4292
119-129
Xu, Chao
c27df395-736f-43e1-a290-c0bb90154f42
Wu, Mingxing
fec9bb3b-45d5-44a2-b7d4-82a263701897
Zhou, Tian
e1d79e44-9e3c-47f7-807c-f3de61af5a10
Li, Jianghui
9c589194-00fa-4d42-abaf-53a32789cc5e
Du, Weidong
bc44d631-e56c-48ff-9a08-1222744e1a4d
Zhang, Wanyuan
9524afc2-7789-4870-9ecc-ac3c55a07719
White, Paul
2dd2477b-5aa9-42e2-9d19-0806d994eaba
Xu, Chao
c27df395-736f-43e1-a290-c0bb90154f42
Wu, Mingxing
fec9bb3b-45d5-44a2-b7d4-82a263701897
Zhou, Tian
e1d79e44-9e3c-47f7-807c-f3de61af5a10
Li, Jianghui
9c589194-00fa-4d42-abaf-53a32789cc5e
Du, Weidong
bc44d631-e56c-48ff-9a08-1222744e1a4d
Zhang, Wanyuan
9524afc2-7789-4870-9ecc-ac3c55a07719
White, Paul
2dd2477b-5aa9-42e2-9d19-0806d994eaba

Xu, Chao, Wu, Mingxing, Zhou, Tian, Li, Jianghui, Du, Weidong, Zhang, Wanyuan and White, Paul (2020) Optical flow-based detection of gas leaks from pipelines using multibeam water column images. Remote Sensing, 12 (1), 119-129. (doi:10.3390/rs12010119).

Record type: Article

Abstract

In recent years, most multibeam echo sounders (MBESs) have been able to collect water column image (WCI) data while performing seabed topography measurements, providing effective data sources for gas-leakage detection. However, there can be systematic (e.g., sidelobe interference) or natural disturbances in the images, which may introduce challenges for automatic detection of gas leaks. In this paper, we design two data-processing schemes to estimate motion velocities based on the Farneback optical flow principle according to types of WCIs, including time-angle and depth-across track images. Moreover, by combining the estimated motion velocities with the amplitudes of the image pixels, several decision thresholds are used to eliminate interferences, such as the seabed, non-gas backscatters in the water column, etc. To verify the effectiveness of the proposed method, we simulated the scenarios of pipeline leakage in a pool and the Songhua Lake, Jilin Province, China, and used a HT300 PA MBES (it was developed by Harbin Engineering University and its operating frequency is 300 kHz) to collect acoustic data in static and dynamic conditions. The results show that the proposed method can automatically detect underwater leaking gases, and both data-processing schemes have similar detection performance.

Text
remotesensing-12-00119-v2 - Version of Record
Available under License Creative Commons Attribution.
Download (8MB)

More information

Accepted/In Press date: 30 December 2019
Published date: 1 January 2020
Keywords: multibeam echo sounder, water column image, gas emissions, automatic detection, optical flow

Identifiers

Local EPrints ID: 441816
URI: http://eprints.soton.ac.uk/id/eprint/441816
ISSN: 2072-4292
PURE UUID: 1d3bf4cd-4927-4b86-b63a-22e0e0b97b61
ORCID for Jianghui Li: ORCID iD orcid.org/0000-0002-2956-5940
ORCID for Paul White: ORCID iD orcid.org/0000-0002-4787-8713

Catalogue record

Date deposited: 29 Jun 2020 16:31
Last modified: 07 Oct 2020 02:15

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×