Acoustic Seafloor Characterization

2020 ◽  
pp. 197-248
Author(s):  
Ziyin Wu ◽  
Fanlin Yang ◽  
Yong Tang
Keyword(s):  
Seafloor Characterization

Application of neural and statistical classifiers to the problem of seafloor characterization

1993 ◽  
Vol 93 (4) ◽  
pp. 2401-2401
Author(s):  
Zoi‐Heleni Michalopoulou ◽  
Dimitri Alexandrou
Keyword(s):  
Statistical Classifiers ◽  
Seafloor Characterization

Seafloor characterization using texture

2002 ◽  
Author(s):  
S. Subramaniam ◽  
H. Barad ◽  
A.B. Martinez ◽  
B. Bourgeois
Keyword(s):  
Seafloor Characterization

Application of neural and statistical classifiers to the problem of seafloor characterization

1995 ◽  
Vol 20 (3) ◽  
pp. 190-197 ◽  
Author(s):  
Z.-H. Michalopoulou ◽  
D. Alexandrou ◽  
C. de Moustier
Keyword(s):  
Statistical Classifiers ◽  
Seafloor Characterization

Parametric sonars for seafloor characterization

1999 ◽  
Vol 10 (12) ◽  
pp. 1105-1115 ◽  
Author(s):  
Andrea Caiti ◽  
Oddbjorn Bergem ◽  
Johnny Dybedal
Keyword(s):  
Seafloor Characterization

scholarly journals Multispectral Multibeam Echo Sounder Backscatter as a Tool for Improved Seafloor Characterization

Geosciences ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 126 ◽  
Author(s):  
Craig Brown ◽  
Jonathan Beaudoin ◽  
Mike Brissette ◽  
Vicki Gazzola
Keyword(s):  
Habitat Mapping ◽  
Benthic Habitat ◽  
Underwater Video ◽  
Acoustic Response ◽  
Acoustic Measurements ◽  
Seabed Classification ◽  
Seafloor Characterization ◽  
Ground Validation ◽  
Dredge Spoil ◽  
Mapping Systems

The establishment of multibeam echosounders (MBES), as a mainstream tool in ocean mapping, has facilitated integrative approaches towards nautical charting, benthic habitat mapping, and seafloor geotechnical surveys. The combined acoustic response of the seabed and the subsurface can vary with MBES operating frequency. At worst, this can make for difficulties in merging the results from different mapping systems or mapping campaigns. However, at best, having observations of the same seafloor at different acoustic wavelengths allows for increased discriminatory power in seabed classification and characterization efforts. Here, we present the results from trials of a multispectral multibeam system (R2Sonic 2026 MBES, manufactured by R2Sonic, LLC, Austin, TX, USA) in the Bedford Basin, Nova Scotia. In this system, the frequency can be modified on a ping-by-ping basis, which can provide multi-spectral acoustic measurements with a single pass of the survey platform. The surveys were conducted at three operating frequencies (100, 200, and 400 kHz), and the resulting backscatter mosaics revealed differences in parts of the survey area between the frequencies. Ground validation surveys using a combination of underwater video transects and benthic grab and core sampling confirmed that these differences were due to coarse, dredge spoil material underlying a surface cover of mud. These innovations offer tremendous potential for application in the area of seafloor geological and benthic habitat mapping.

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