Acoustic sea trial in the Müja Süderfjärd dumpsite

Moren, P.; Caiti, Andrea; Zakharia, Manell E.; Larsen, Michael Holm; Blondel, Phillippe; Dybedal, J.

doi:10.1007/978-3-540-28121-4_11

Cited by 2 publications

(4 citation statements)

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“…This can be performed by placing the imaging sonar on a ROV, and measuring at several suitably placed scattering angles (with a series of hydrophones on a vertical chain, in line with sonar and target, or with another vehicle moving the hydrophone(s) to the desired locations). This surveying approach was part of the multiple-aspect geometries adopted during the SITAR sea trials at the Möja Soderfjärd dumpsite [4]. In this case, a parametric sonar TOPAS-120 was placed on the Plums ROVand rotated around the objects of interest.…”

Section: Extension To Sea Trials and Marine Dumpsitesmentioning

confidence: 99%

“…the Farallon Island Radioactive Waste Dump, where 47,800 barrels are scattered over 1,400 km 2 ) [1] and in dense and cluttered environments (e.g. the Möja Söderfjord dump site, where 450 targets occur in a few hundred m 2 ) [4]. In most areas, the targets are too deep or sedimented, or the water is too opaque, to allow time-consuming optical recognition of each individual object.…”

Section: Introductionmentioning

confidence: 99%

“…stainless steel or aluminium). They are quantified using the combined L 4 norm of the time-domain signals at each aspect. Using appropriate ranges of multistatic configurations and imaging each target at 3 distinct aspects (45° apart), it is possible to successfully distinguish between similar targets with distinct contents and/or material, even in cluttered terrains.…”

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confidence: 99%

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Rapid distinction of dumpsite objects using Multiple-Aspect Scattering - Results from scaled tank experiments

Blondel

2008

The Journal of the Acoustical Society of America

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Toxic dumpsites on the seafloor are causing increasing environmental concern, but traditional sonar imaging strains to distinguish objects in unconsolidated sediments, in particular in cluttered terrains. Scaled tank experiments were conducted with four different cylinders (fluid-filled and solid aluminium, air-filled and solid stainless steel, respectively) and two seabed types (silt and gravel), using the facilities at the University of Bath. The setup was a 10:1 scaled version of the EC-SITAR sea trials site in the Stockholm Archipelago (Sweden). The main aim of these experiments was to design efficient surveying strategies, later used at sea. Our studies showed large variations depending on the aspect of these targets and their bistatic imaging configuration. These variations can be directly related to the shapes of the targets (e.g., dimensions, presence of ribs), their content (hollow or solid) and the material of the shells (e.g., stainless steel or aluminium). They are quantified using the combined L4 norm of the time-domain signals at each aspect. Using appropriate ranges of multistatic configurations and imaging each target at three distinct aspects (45° apart), it is possible to successfully distinguish between similar targets with distinct contents and/or material, even in cluttered terrains.

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Section: Extension To Sea Trials and Marine Dumpsitesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Rapid distinction of dumpsite objects using Multiple-Aspect Scattering - Results from scaled tank experiments

Blondel

2008

The Journal of the Acoustical Society of America

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“…An example of a bistatic scattering experiment in a real-world environment was part of the SITAR project, conducted in Sweden in 2003. 6,7 During this experiment, scattering data were collected around targets located in a dump site using a fixed receiver and a remotely operated vehicle (ROV) based transmitter. The frequencies were higher than those discussed in this paper and the ROV allowed more precise navigation than that possible with the AUV used here, but the concept of having a mobile transmitter and a fixed receiver is very similar.…”

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confidence: 99%

Classification of underwater targets from autonomous underwater vehicle sampled bistatic acoustic scattered fields

Fischell

Schmidt

2015

The Journal of the Acoustical Society of America

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One of the long term goals of autonomous underwater vehicle (AUV) minehunting is to have multiple inexpensive AUVs in a harbor autonomously classify hazards. Existing acoustic methods for target classification using AUV-based sensing, such as sidescan and synthetic aperture sonar, require an expensive payload on each outfitted vehicle and post-processing and/or image interpretation. A vehicle payload and machine learning classification methodology using bistatic angle dependence of target scattering amplitudes between a fixed acoustic source and target has been developed for onboard, fully autonomous classification with lower cost-per-vehicle. To achieve the high-quality, densely sampled three-dimensional (3D) bistatic scattering data required by this research, vehicle sampling behaviors and an acoustic payload for precision timed data acquisition with a 16 element nose array were demonstrated. 3D bistatic scattered field data were collected by an AUV around spherical and cylindrical targets insonified by a 7–9 kHz fixed source. The collected data were compared to simulated scattering models. Classification and confidence estimation were shown for the sphere versus cylinder case on the resulting real and simulated bistatic amplitude data. The final models were used for classification of simulated targets in real time in the LAMSS MOOS-IvP simulation package [M. Benjamin, H. Schmidt, P. Newman, and J. Leonard, J. Field Rob. 27, 834–875 (2010)].

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Acoustic sea trial in the Müja Süderfjärd dumpsite

Cited by 2 publications

References 0 publications

Rapid distinction of dumpsite objects using Multiple-Aspect Scattering - Results from scaled tank experiments

Rapid distinction of dumpsite objects using Multiple-Aspect Scattering - Results from scaled tank experiments

Classification of underwater targets from autonomous underwater vehicle sampled bistatic acoustic scattered fields

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