Underwater Acoustic Data Processing

1989 ◽  
Keyword(s):  
Data Processing ◽  
Underwater Acoustic ◽  
Acoustic Data

Underwater Acoustic Data Communications for Autonomous Platform Command, Control and Communications

2001 ◽  
Author(s):  
Michael Shinego ◽  
Geoff Edelson ◽  
Francine Menas ◽  
Michael Richman ◽  
Robert Nation
Keyword(s):  
Data Communications ◽  
Underwater Acoustic ◽  
Acoustic Data

Interferometry in Acoustic-Data Processing Using Extended Antennas. Space–Time Analogy

2020 ◽  
Vol 28 (4) ◽  
pp. 326-332
Author(s):  
I. V. Kaznacheev ◽  
V. M. Kuz’kin ◽  
M. V. Kutsov ◽  
G. A. Lyakhov ◽  
S. A. Pereselkov
Keyword(s):  
Data Processing ◽  
Space Time ◽  
Acoustic Data ◽  
Time Analogy

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

2020 ◽  
Vol 12 (1) ◽  
pp. 119 ◽  
Author(s):  
Chao Xu ◽  
Mingxing Wu ◽  
Tian Zhou ◽  
Jianghui Li ◽  
Weidong Du ◽  
...  
Keyword(s):  
Data Processing ◽  
Optical Flow ◽  
Water Column ◽  
Natural Disturbances ◽  
Leakage Detection ◽  
Acoustic Data ◽  
Gas Leakage ◽  
Seabed Topography ◽  
Image Pixels ◽  
Gas Leaks

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.

Analysis and interpretation of underwater acoustic data originated from the vicinity of the last known location of the Argentinian submarine ARA San Juan

2018 ◽  
Vol 144 (3) ◽  
pp. 1808-1808
Author(s):  
Peter L. Nielsen ◽  
Mario Zampolli ◽  
Ronan Le Bras ◽  
Pierrick Mialle ◽  
Paulina Bittner ◽  
...  
Keyword(s):  
San Juan ◽  
Underwater Acoustic ◽  
Acoustic Data
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