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

• Published in: ICES journal of marine science 2010-11, Vol.67 (8), p.1766-1779
• Main Authors: Schimel, Alexandre C. G., Healy, Terry R., Johnson, David, Immenga, Dirk
• Format: Article
• Language: English
• Subjects: accuracy; Acoustic mapping; average of mutual information (AMI); Classification; contingency matrix; Cramér's V; Goodman–Kruskal's lambda; Habitats; kappa statistic; Land; Marine; Sea beds; Segmentation; Theil's uncertainty coefficient
• ISSN: 1054-3139; 1095-9289
• DOI: 10.1093/icesjms/fsq102

Schimel, A. C. G., Healy, T. R., Johnson, D., and Immenga, D. 2010. Quantitative experimental comparison of single-beam, sidescan, and multibeam benthic habitat maps. – ICES Journal of Marine Science, 67: 1766–1779. 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.