Physical Sciences and Mathematics Commons^™

Alluvial Substrate Mapping By Automated Texture Segmentation Of Recreational-Grade Side Scan Sonar Imagery, Daniel Hamill, Daniel Buscombe, Joseph Michael Wheaton

Watershed Sciences Faculty Publications

Side scan sonar in low-cost ‘fishfinder’ systems has become popular in aquatic ecology and sedimentology for imaging submerged riverbed sediment at coverages and resolutions sufficient to relate bed texture to grain-size. Traditional methods to map bed texture (i.e. physical samples) are relatively high-cost and low spatial coverage compared to sonar, which can continuously image several kilometers of channel in a few hours. Towards a goal of automating the classification of bed habitat features, we investigate relationships between substrates and statistical descriptors of bed textures in side scan sonar echograms of alluvial deposits. We develop a method for automated segmentation of …