Processing of high-frequency multibeam echo sounder data for seafloor characterization

Hellequin, Laurent; Boucher, Jean‐Marc; Lurton, Xavier

doi:10.1109/joe.2002.808205

Cited by 143 publications

(78 citation statements)

References 11 publications

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“…8. The angular evolution of the shape parameter ν coincides with the findings of [5] and [4]. For the intermediate incidence angles, the shape-parameter values are low.…”

Section: Distribution Issuessupporting

confidence: 86%

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Using the MBES for classification of riverbed sediments

Amiri-Simkooei

Snellen

Simons

2008

The Journal of the Acoustical Society of America

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Acoustics 08 Paris 5257For keeping the Dutch rivers suitable for commercial activities bottom stabilizing measures are required. For example, the bottom of the river Waal, connecting Rotterdam with German industrial areas, is subsiding. Since the subsidence varies along the river, dangerous shoals occur. Sediment suppletions are planned to counteract the subsidence. Appropriate suppletion material is expected to keep the bottom more stable. To monitor the suppletion effectiveness, multibeam echosounder (MBES) measurements are planned, allowing for simultaneous estimation of bathymetry and sediment composition. For the latter, we apply a method employing the MBES backscatter data. It estimates the number of sediment types present in the survey area and discriminates between them by applying the Bayes decision rule for multiple hypotheses, implicitly accounting for the backscatter strength ping-to-ping variability. The method's applicability was demonstrated in a well-surveyed test area (North Sea). In 2007, MBES measurements were acquired at the Waal, accompanied with extensive sediment grabbing. Contrary to the test area, water depths are very shallow and significant bottom slopes exist, requiring corrections. The lower water depths correspond to smaller beam-footprints, resulting in a higher ping-to-ping variability. Consequently the discriminating power between sediments will decrease. The performance of the classification method for this river environment is assessed.

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“…8. The angular evolution of the shape parameter ν coincides with the findings of [5] and [4]. For the intermediate incidence angles, the shape-parameter values are low.…”

Section: Distribution Issuessupporting

confidence: 86%

“…This Kdistribution results from two independent Γ-distributed random variables. The K-distribution has proved to be a promising and useful model for backscattering statistics in MBES and side-scan sonar data [4,5].…”

Section: K-distributed Backscatter Intensitymentioning

confidence: 99%

Using the MBES for classification of riverbed sediments

Amiri-Simkooei

Snellen

Simons

2008

The Journal of the Acoustical Society of America

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“…To these purposes, high frequency tools, as single beam or multibeam echosounders or side scan sonars, are used to assess the bottom roughness and improve the knowledge of the environment [3,4]. However if such systems can generally provide a detailed image of the bottom, the relationship between the acoustic measurements and the physical parameters of the bottom strongly depend on the type of environment, and in particular on the type of bottom roughness.…”

Section: Introductionmentioning

confidence: 99%

High Frequency Roughness Scattering from Various Rough Surfaces: Theory and Laboratory Experiments

Jaud¹,

Sessarego²,

Gervaise³

et al. 2012

OJA

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The scattering strength of isotropic and anisotropic rough surfaces was experimentally and theoretically investigated for high frequencies about 500 kHz. Emphasis was placed on studying the response from three two-dimensional rough surfaces which roughness was either isotropic (characterized by a Gaussian distribution) or anisotropic (characterized by a modified-sine surface). Theoretical predictions rely on the first-order small slope approximation either including a Gaussian structure function or a quasi-periodic structure function. The combination of true data and theoretical results indicates the importance of taking into account the anisotropy of a surface in a scattering prediction process. It is shown that the scattering strength varies a lot depending on the propagation plane. In the longitudinal direction of ripples, scattering strength is mostly in the specular direction, whereas in the transversal direction of the ripples, the scattering strength is spread in a very different way related to the particular features of the ripples, with several maxima and minima independent of the specular direction. Contrary to the isotropic surface, the scattering strength from an anisotropic rough surface is modified from one propagation plane to another, which explains why the entire rough surface should be taken into account without any simplification as it is often seen when dealing with scattering models. Compared to such a surface, positions of the emitter and of the receiver are naturally significant when measuring scattering strength.

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“…A large part of the research on acoustic means for sediment classification has focused on systems that today are widely available, such as multibeam echosounders (MBESs), e.g., [2]- [4]; single-beam echosounders (SBESs), e.g., [5]- [7]; and sidescan sonars (SSSs), e.g., [8]. The advantage of these systems is that they are in use already, and therefore no additional hardware is required.…”

Section: Introductionmentioning

confidence: 99%