Seabed classification of multibeam sonar images

Preston, J.M.; Christney, A.C.; Bloomer, Stephen F.; Beaudet, I.L.

doi:10.1109/oceans.2001.968411

Cited by 32 publications

(21 citation statements)

References 5 publications

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“…In subsection 2 above, I only used three principal components in the tables to present a fair comparison with the QTC IMPACT™ results, which are limited to three principal components by design of the program. Preston et al (2001) present that as a feature of the QTC software, but I think it is an objectionable limitation. This point will be revisited below.…”

Section: Statistical Issuesmentioning

confidence: 97%

Reply to the comment by Preston and Kirlin on "Acoustic seabed classification: improved statistical method"

Legendre¹

2003

Can. J. Fish. Aquat. Sci.

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Legendre et al. (2002) described a statistical method for analysing echosounder backscatter data, which consisted of the following steps: the backscatter data were decomposed mathematically into a number of quantitative variables, which were subjected to principal component analysis (PCA). Principal components representing 95-99% of the variation were then used in a K-means partitioning procedure. A leastsquares statistical criterion indicated the number of groups that best reflected the variability of the data. The groups were then plotted on maps of the survey area. Insofar as the mathematical decomposition of the backscatter echo produced variables that reflected the variation of the physical nature and composition of the seabed, the classes of the partition were likely to correspond to seabed types. This procedure presented several improvements over the Quester Tangent Corporation's QTC VIEW™ acoustic bottom classification method (Prager et al. 1995), and it was described in easy-to-understand terms. Free software implementing this method-The Q Package for Windows and The R Package for Macintosh-is available on the Web site http://www. fas.umontreal.ca/biol/legendre/. J.M. Preston, from the Quester Tangent Corporation (QTC), and R.L. Kirlin wrote a comment on that paper, to which I was invited to reply. I will first address some statistical points in Preston and Kirlin's note and then go to more fundamental issues.

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Section: Statistical Issuesmentioning

confidence: 97%

Reply to the comment by Preston and Kirlin on "Acoustic seabed classification: improved statistical method"

Legendre¹

2003

Can. J. Fish. Aquat. Sci.

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“…2, 3). Substantial efforts have been made in trying to obtain seafloor type or physical characteristics from the measurement of the backscatter level (e.g., Brown and Blondel 2009;De Moustier and Matsumoto 1993;Kloser et al 2010;Lamarche et al 2011;McGonigle and Collier 2014;Preston et al 2001), in many cases according to its angle dependence (Haniotis et al 2015). Some original applications include recognition and mapping algae (McGonigle et al 2011), oil spills (Medialdea et al 2008), or hydrothermal vents and seeps (Durand et al 2006;Klaucke et al 2008).…”

Section: Backscatter Interpretationmentioning

confidence: 99%

Recommendations for improved and coherent acquisition and processing of backscatter data from seafloor-mapping sonars

Lamarche

Lurton

2017

Mar Geophys Res

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“…However, the more typical use of sidescan for classification has been when deployed together with other techniques; for example, see the work by Brown et al (2004) on the mapping of biotopes associated with aggregate extraction. A more promising future potential for automated seafloor classification has perhaps been shown with the use of high frequency bathymetric sidescan sonar (Atallah et al, 2002) and multibeam sonar (Mitchell and HughesClarke, 1994;Preston et al, 2001). With these survey instruments many of the assumptions that are necessary with the sidescan sonar, such as grazing angle intensity losses, are more readily accommodated.…”

Section: Discussionmentioning

confidence: 99%

Mapping serpulid worm reefs (Polychaeta: Serpulidae) for conservation management

Moore

Bates

Mair

et al. 2008

Aquatic Conservation

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ABSTRACT1. This study describes investigations into mapping of the biogenic reefs produced by the polychaete worm, Serpula vermicularis, for the purposes of conservation management.2. Reef distribution throughout Loch Creran, Scotland, was mapped using a diver transect technique and was found to be restricted to a peripheral band, with a mean upper limit of distribution of 2.7 m. The mean lower limit was found to decrease with distance from the mouth of the loch, with a lower limit of 9.3 m in the lower basin rising to 6.6 m in the upper basin; the likely influence of a corresponding decrease in the upper depth distribution of muds is discussed.3. Through determination of the mean width of the reef band and coastline length, the areal extent of the reef band was estimated as 108 ha, revealing Loch Creran to harbour the most extensive known development of S. vermicularis reef habitat in the world.4. The utility of sidescan sonar in mapping serpulid reefs was examined in four of the major embayments. Reef material appeared as characteristic patterning on the sonargrams, with the morphology of individual larger reefs being discernible.5. Sidescan sonar was found to be particularly valuable for the identification and monitoring of threats to the conservation of serpulid reefs. Sidescan sonar surveying was found to facilitate identification of loss of habitat extent resulting from anthropogenic activities such as moorings, aquaculture installations and dredging and can also be used to monitor the potentially damaging activity of otter trawling. Further improvements in the mode of deployment of sidescan sonar are discussed.

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Seabed classification of multibeam sonar images

Cited by 32 publications

References 5 publications

Reply to the comment by Preston and Kirlin on "Acoustic seabed classification: improved statistical method"

Reply to the comment by Preston and Kirlin on "Acoustic seabed classification: improved statistical method"

Recommendations for improved and coherent acquisition and processing of backscatter data from seafloor-mapping sonars

Mapping serpulid worm reefs (Polychaeta: Serpulidae) for conservation management

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