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Sidescan sonar image processing for AUV navigation
Europe Oceans 2005, 2005The use of information extracted from payload data offers a potential improvement to the navigation of autonomous underwater vehicles (AUV). Recent research results have demonstrated the capability of bathymetric sensors and forward looking sonar to reduce navigation drifts of AUV's.
B. Zerr +3 more
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Segmentation of Sidescan Sonar Imagery Using Markov Random Fields and Extreme Learning Machine
IEEE Journal of Oceanic Engineering, 2019As a widely used segmentation scheme, Markov random field (MRF) utilizes $k$-means clustering to calculate the initial model for sidescan sonar image segmentation.
Yan Song +8 more
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Computer Simulations of Bathymetric Sidescan Sonar
OCEANS '87, 1987Bathymetric sidescan sonar systems offer the potential for high-resolution mapping of the ocean bottom at a substantial reduction in survey cost because of their relative simplicity combined with improved area coverage over multibeam bathymetric systems currently in use.
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An automated sidescan sonar pipeline inspection system
Oceans '99. MTS/IEEE. Riding the Crest into the 21st Century. Conference and Exhibition. Conference Proceedings (IEEE Cat. No.99CH37008), 2003The application of new developments in sonar signal processing and advances in computing power have resulted in the development of an automated sidescan sonar pipeline inspection system for surveying existing marine pipelines. Pipeline localization and tracking is controlled by a computer model that provides a graphic, real-time display of the pipeline
R.C. Gauer, A. McFadzean, C. Reid
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Sidescan sonar data processing
2009As they follow each other, backscatter profiles build up a fuller picture of the seabed. As time of reception (i.e., range from the sonar) increases, each profile will show typical variations (Figure 4.1, see color section). First, there are very low returns, due to background noise and reverberation as the signal still propagates in the water column ...
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Statistical modelling of sidescan sonar images
Oceans '97. MTS/IEEE Conference Proceedings, 2002The K-distribution models the statistics of the backscatter from a coherent imaging process. It has successfully modelled radar backscatter from land and the sea surface, but it does not appear to have been applied to sonar images of a range of seabed sediment types.
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Sidescan sonar image matching using cross correlation
SPIE Proceedings, 2003When surveying an area for sea mines with a sidescan sonar, the ability to find the same object in two different sonar images is helpful to determine the nature of the object. The main problem with matching two sidescan sonar images is that a scene changes appearance when viewed from different viewpoints.
Erik Thisen +2 more
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IEEE Journal of Oceanic Engineering, 2018
This paper describes a framework for object segmentation from sidescan sonar acoustic data. The current techniques consume a great deal of computational resources to accurately carry out object segmentation.
S. Villar +3 more
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This paper describes a framework for object segmentation from sidescan sonar acoustic data. The current techniques consume a great deal of computational resources to accurately carry out object segmentation.
S. Villar +3 more
semanticscholar +1 more source
Coherent Probabilistic Error Model for Interferometric Sidescan Sonars
IEEE Journal of Oceanic Engineering, 2010Interferometry is widely used in bathymetric applications to relate short time delays between two separate sensors to wavefront arrival angles. The main difficulty of this method concerns its sensitivity with regard to the distance between the two sensor receivers, commonly called baseline. Indeed, the baseline, which is only a few wavelengths long, is
Sintes, Christophe +2 more
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Integration and Evaluation of a Next-Generation Chirp-Style Sidescan Sonar on the REMUS 100
IEEE/OES Autonomous Underwater Vehicles, 2018“Chirp”-style sidescan sonar systems, which use pulse-compressed signals, provide advantages over pulsed continuous-wave sidescan sonar systems, including increased imaging range, resolution, and image fidelity.
E. Gallimore +5 more
semanticscholar +1 more source

