A Scatterer Map for the Malta Plateau

Prior, Mark K.

doi:10.1109/joe.2005.862129

Cited by 38 publications

(13 citation statements)

References 14 publications

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“…3. The features shown in the figure correspond closely to a scatterer map produced for the area [15] based on the same sonar data but with different processing. Comparison with the scatterer map allowed the nature of the scatterers responsible for the formation of the contacts to be identified and the locations of 6 man-made features known to be present in the area are marked with arrows in Fig.…”

Section: Contact Formingsupporting

confidence: 52%

“…3 shows that the region is highly cluttered. The central portion of the plateau shows high contact density that has been associated [15] with local changes in the seabed sediment type but this area does not show any large outcrops or wrecks. This cluttered nature of the environment motivated a search for a way of reducing the level of clutter while retaining those contacts associated with man-made features.…”

Section: Contact Formingmentioning

confidence: 97%

“…The large, northern feature comprises an oil production platform and associated buffer ship while the other five features are all shipwrecks. The two parallel, linear groups of contacts at the eastern edge of the region are associated with rock outcrops [15].…”

Section: Contact Formingmentioning

confidence: 99%

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The physical causes of clutter and its suppression via sub-band processing

Prior

Baldacci

2006

Oceans 2006

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Seafloor features that cause low-frequency, active sonar clutter are discussed and illustrated with data gathered in the Mediterranean Sea for signals with a 1 kHz bandwidth, centered on 1.3 kHz. A method is proposed to reduce the number of sonar contacts formed due to random returns in the data, i.e. "clutter points". The method uses band-pass filters to split the signal into a number of sub-bands and processes the sub-band data after contact-forming, using knowledge of the physical causes of clutter to reject clutter while retaining real contacts. Comparisons are made between sub-band and full-band processing and the improvements obtainable via the method are illustrated using the measured data with a shipwreck target. It is shown that the proportion of contacts associated with man-made features is increased when sub-band processing is used, relative to the full-band case.

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Section: Contact Formingsupporting

confidence: 52%

Section: Contact Formingmentioning

confidence: 97%

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The physical causes of clutter and its suppression via sub-band processing

Prior

Baldacci

2006

Oceans 2006

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“…More information on discrete scatterers in this area can be found in Ref. 20, where reverberation from a coherent source was processed to produce a scattering map from which fourteen different features are identified and discussed ͑including these three wrecks͒.…”

Section: Province Attributesmentioning

confidence: 99%

Mapping seabed variability: Rapid surveying of coastal regions

Holland

2006

The Journal of the Acoustical Society of America

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Directional broadband reverberation can be exploited for rapidly probing seabed variability over large areas O ͑10 3 -10 4 ͒ km 2 ; the data need not be calibrated. Seabed variability thus mapped inherently combines spatial variability in geoacoustic properties that control reflection and those that control scattering. It is shown that in some cases, the variability can be separated. The method is applied to measurements in the Straits of Sicily where the data indicate the existence of two provinces where the statistics of the geoparameters are distinct. Three attributes of each province are quantified: the province boundaries, measures of spatial variability and/or uncertainty, and the location of discrete scattering features ͑that may lead to sonar clutter͒. One province is quite large and exhibits remarkably little spatial variability. The variability is probed on lateral scales ϳ200 ϫ 400 m, yet the ratio of the seabed geoparameters varies less than 3 dB from 300− 1600 Hz over ϳ1000 km 2 . While this result seems contrary to prevailing notions of extreme seabed variability in shallow water, it indicates that certain kinds of geophysical ͑and concomitant geoacoustic͒ variability may be averaged in such a way that the seabed appears approximately homogeneous to long-range acoustic systems.

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“…Sea trials in littoral environments with high reverberant conditions show that high-resolution sonars generate particularly many contacts in presence of ship wrecks and terrain features such as seamounts and underwater ridges [13], [14], [2], [15]. A possible cause is false alarm rate inflation (FARI) [16], [17], [18], [19].…”

Section: Introductionmentioning

confidence: 99%

Automatic target classification for low-frequency anti-submarine warfare sonars

Hjelmervik

Berg

2013

2013 MTS/IEEE OCEANS - Bergen

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Autonomous anti-submarine warfare (ASW) sonars require robust automatic target classification algorithms. In conventional systems with human operators, the main role of such algorithms is to simplify the work of the sonar operator, while in autonomous systems, automatic target classification is crucial for the operative value of the systems. The emergence of the autonomous underwater vehicle (AUV), coupled with ongoing increase in computational power allowing more advanced realtime processing, has increased the interest in automatic target classification in the naval community.Detailed knowledge of the environment and an acoustic model may be used to estimate the probability that contacts are generated due to the signal processing induced phenomenon called false alarm rate inflation (FARI). This is a phenomenon often encountered in the littorals in presence of bathymetric features such as sea mounts and ridges. In this paper, we propose combining FARI information with track information, using two different machine learning techniques, k-Nearest neighbours and ID3.

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A Scatterer Map for the Malta Plateau

Cited by 38 publications

References 14 publications

The physical causes of clutter and its suppression via sub-band processing

The physical causes of clutter and its suppression via sub-band processing

Mapping seabed variability: Rapid surveying of coastal regions

Automatic target classification for low-frequency anti-submarine warfare sonars

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