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Object-oriented classification of sidescan sonar data for mapping benthic marine habitats


Lucieer, VL, Object-oriented classification of sidescan sonar data for mapping benthic marine habitats, International Journal of Remote Sensing, 29, (3) pp. 905-921. ISSN 0143-1161 (2008) [Refereed Article]

DOI: doi:10.1080/01431160701311309


This research presents an object-oriented technique for habitat classification at different segmentation levels based on the use of imagery from an Edgetech 272 side scan sonar. We investigate the success of object parameters such as shape and size as well as texture in discriminating reef from sand habitat. The results are evaluated using traditional digitization, based on visual assessment of the sidescan imagery, and video transects. Whereas the application of traditional pixel-based classification results in a pixelized (salt and pepper) representation of habitat distribution, the object-based classification technique results in habitat objects (raster or vector). The object-oriented classification results are cross-validated using confusion matrices in image classification software and error matrices from underwater video transects showing an overall accuracy of 80% based on two classes within the image at three segmentation levels and an overall accuracy of 60% based on three classes at two segmentation levels. This is compared with the digitized layer accuracy of 81% for two classes and 72% for three classes, and this demonstrates the successful application of object-oriented methods for habitat mapping. This technique retains spatially discrete habitat pattern information in a classified vector shape file with methods that are automated, repeatable, objective, and capable of processing many sidescan records in a more efficient manner.

Item Details

Item Type:Refereed Article
Research Division:Environmental Sciences
Research Group:Environmental management
Research Field:Environmental management not elsewhere classified
Objective Division:Environmental Management
Objective Group:Terrestrial systems and management
Objective Field:Assessment and management of terrestrial ecosystems
UTAS Author:Lucieer, VL (Dr Vanessa Lucieer)
ID Code:54004
Year Published:2008
Web of Science® Times Cited:72
Deposited By:TAFI - Marine Research Laboratory
Deposited On:2009-02-06
Last Modified:2009-04-22

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