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Quantitative experimental comparison of single-beam, sidescan, and multibeam benthic habitat maps

Schimel, Alexandre C.G., Healy, Terry R., Johnson, David and Immenga, Dirk 2010, Quantitative experimental comparison of single-beam, sidescan, and multibeam benthic habitat maps, ICES journal of marine science, vol. 67, no. 8, pp. 1766-1779, doi: 10.1093/icesjms/fsq102.

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Title Quantitative experimental comparison of single-beam, sidescan, and multibeam benthic habitat maps
Author(s) Schimel, Alexandre C.G.
Healy, Terry R.
Johnson, David
Immenga, Dirk
Journal name ICES journal of marine science
Volume number 67
Issue number 8
Start page 1766
End page 1779
Total pages 14
Publisher Academic Press
Place of publication London, England
Publication date 2010-11
ISSN 1095-9289
1054-3139
Keyword(s) accuracy
average of mutual information (AMI)
contingency matrix
Cramer's V
Goodman–Kruskal’s lambda
kappa statistic
Theil’s uncertainty coefficient
Summary Map comparison is a relatively uncommon practice in acoustic seabed classification to date, contrary to the field of land remote sensing, where it has been developed extensively over recent decades. The aim here is to illustrate the benefits of map comparison in the underwater realm with a case study of three maps independently describing the seabed habitats of the Te Matuku Marine Reserve (Hauraki Gulf, New Zealand). The maps are obtained from a QTC View classification of a single-beam echosounder (SBES) dataset, manual segmentation of a sidescan sonar (SSS) mosaic, and automatic classification of a backscatter dataset from a multibeam echosounder (MBES). The maps are compared using pixel-to-pixel similarity measures derived from the literature in land remote sensing. All measures agree in presenting the MBES and SSS maps as the most similar, and the SBES and SSS maps as the least similar. The results are discussed with reference to the potential of MBES backscatter as an alternative to SSS mosaic for imagery segmentation and to the potential of joint SBES–SSS survey for improved habitat mapping. Other applications of map-similarity measures in acoustic classification of the seabed are suggested.
Language eng
DOI 10.1093/icesjms/fsq102
Field of Research 070402 Aquatic Ecosystem Studies and Stock Assessment
Socio Economic Objective 960507 Ecosystem Assessment and Management of Marine Environments
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2010, Academic Press
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30056202

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.