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A comprehensive EM300 (32 kHz) multibeam survey of Cook Strait, New Zealand (~8500 km2) is used to generate a regional substrate classification map over a wide range of water depths, seafloor substrates and geological landforms using an automated mapping method based on the textural image analysis of backscatter data. We used the SonarScope® software to process the data, including signal corrections from sensor bias, specular reflection compensation and speckle noise filtering aiming at attenuating the effects of recording equipment, seafloor topography, and water column. This is required in order to obtain an image with a strongly attenuated specular reflection. Image segmentation of the merged backscatter and bathymetry layer is constrained using shape, compactness, and texture measures. The number of classes and their spatial distribution are statistically identified by employing an unsupervised fuzzy c-means (FCM) clustering algorithm to sediment samples, independent of the backscatter data. Classification is achieved from the overlay of the FCM result onto a segmented image and attributing segments with the FCM class.

Item Type:	Conference Extract
Research Division:	Earth Sciences
Research Group:	Geophysics
Research Field:	Geophysics not elsewhere classified
Objective Division:	Environment
Objective Group:	Ecosystem Assessment and Management
Objective Field:	Ecosystem Assessment and Management of Marine Environments
UTAS Author:	Lucieer, VL (Dr Vanessa Lucieer)
ID Code:	75673
Year Published:	2011
Deposited By:	Sustainable Marine Research Collaboration
Deposited On:	2012-02-09
Last Modified:	2012-02-09
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