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Open AccessArticle

Optical Flow-Based Detection of Gas Leaks from Pipelines Using Multibeam Water Column Images

1
Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China
2
College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China
3
Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University), Ministry of Industry and Information Technology, Harbin 150001, China
4
Institute of Sound and Vibration Research, University of Southampton, Southampton SO17 3AS, UK
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(1), 119; https://doi.org/10.3390/rs12010119
Received: 11 November 2019 / Revised: 27 December 2019 / Accepted: 30 December 2019 / Published: 1 January 2020
(This article belongs to the Special Issue Radar and Sonar Imaging and Processing)
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. View Full-Text
Keywords: multibeam echo sounder; water column image; gas emissions; automatic detection; optical flow multibeam echo sounder; water column image; gas emissions; automatic detection; optical flow
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MDPI and ACS Style

Xu, C.; Wu, M.; Zhou, T.; Li, J.; Du, W.; Zhang, W.; White, P.R. Optical Flow-Based Detection of Gas Leaks from Pipelines Using Multibeam Water Column Images. Remote Sens. 2020, 12, 119. https://doi.org/10.3390/rs12010119

AMA Style

Xu C, Wu M, Zhou T, Li J, Du W, Zhang W, White PR. Optical Flow-Based Detection of Gas Leaks from Pipelines Using Multibeam Water Column Images. Remote Sensing. 2020; 12(1):119. https://doi.org/10.3390/rs12010119

Chicago/Turabian Style

Xu, Chao; Wu, Mingxing; Zhou, Tian; Li, Jianghui; Du, Weidong; Zhang, Wanyuan; White, Paul R. 2020. "Optical Flow-Based Detection of Gas Leaks from Pipelines Using Multibeam Water Column Images" Remote Sens. 12, no. 1: 119. https://doi.org/10.3390/rs12010119

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