Swathe seabed classification

Pace, Nicholas G.; Gao, Hao

doi:10.1109/48.559

Cited by 77 publications

(35 citation statements)

References 3 publications

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“…Early attempts at remote sediment classification include using variables derived from spectral analysis of the acoustic backscattered signal to identify sediment types (Pace and Gao, 1988;Reut et al, 1985) and textural analysis of imagery (Reed and Hussong, 1989;Sun, 1993). The AR function has also been shown to distinguish sediment types in some environments (Hughes Clarke, 1993, 1994Hughes Clarke et al, 1997).…”

Section: Introductionmentioning

confidence: 99%

The effects of fine-scale surface roughness and grain size on 300 kHz multibeam backscatter intensity in sandy marine sedimentary environments

Ferrini

Flood

2006

Marine Geology

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Section: Introductionmentioning

confidence: 99%

The effects of fine-scale surface roughness and grain size on 300 kHz multibeam backscatter intensity in sandy marine sedimentary environments

Ferrini

Flood

2006

Marine Geology

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“…One approach is to use a statistical parameterization, by extracting the texture, the histogram of intensity or the 2-D spec- tral content from the acoustic image (e.g. Reut et al, 1985;Pace and Gao, 1988;Reed and Hussong, 1989). However, these statistical parameters are difficult to interpret and they must be validated by independent measurements such as bottom photographs or core samples before bottom classification can be considered.…”

Section: Acoustic Measurements With Bathymetric Sidescan Sonarsmentioning

confidence: 99%

Seafloor acoustic remote sensing with multibeam echo-sounders and bathymetric sidescan sonar systems

Moustier

Matsumoto

1993

Mar Geophys Res

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Abstract, This paper examines the potential for remote classification of seafloor terrains using a combination of quantitative acoustic backscatter measurements and high resolution bathyme' try derived from two classes of sonar systems currently used by the marine research community: multibeam echo-sounders and bathymetric sidescans sonar systems. The high-resolution bathymetry is important, not only to determine the topography of the area surveyed, but to provide accurate bottom slope corrections needed to convert the arrival angles of the seafloor echoes received by the sonars into true angles of incidence. An angular dependence of seafloor acoustic backscatter can then be derived for each region surveyed, making it possible to construct maps of acoustic backscattering strength in geographic coordinates over the areas of interest Such maps, when combined with the highresolution bathymetric maps normally compiled from the data output by the above sonar systems, could be very effective tools to quantify bottom types on a regional basis, and to develop automatic seafloor classification routines.

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“…A number of different approaches to characterization via backscatter have been developed (Canepa and Pace, 2000;Fonseca et al, 2009;Calder, 2005, 2007;Hamilton and Parnum, 2011;Hughes Clarke, 1994;Pace and Gao, 1988;Preston, 2009), with the primary aim of acoustic segmentation; that is, mapping discrete geographical areas of the seafloor with the same acoustic signature Preston et al, 2004). These techniques have also been used to attempt to extract different properties from the backscatter data, including physical (i.e., porosity), acoustic (attenuation), or geotechnical (elastic and shear strength moduli) properties, and also the general morphology at different scales Hughes Clarke et al, 1993;Mayer, 2011;Mayer et al, 2007).…”

Section: Introductionmentioning

confidence: 98%