Record Details
Alluvial Substrate Mapping by Automated Texture Segmentation of Recreational-Grade Side Scan Sonar Imagery
DigitalCommons@USU
| Field | Value |
|---|---|
| Title | Alluvial Substrate Mapping by Automated Texture Segmentation of Recreational-Grade Side Scan Sonar Imagery |
| Creator | Hamill, Daniel Buscombe, Daniel Wheaton, Joseph Michael |
| Description | 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... |
| Date | 2018-03-14T07:00:00Z |
| Type | text |
| Format | application/pdf |
| Identifier | https://digitalcommons.usu.edu/wats_facpub/1007 info:doi/10.1371/journal.pone.0194373 https://digitalcommons.usu.edu/context/wats_facpub/article/2019/viewcontent/journal.pone.0194373.pdf |
| Rights | Copyright for this work is held by the author. Transmission or reproduction of materials protected by copyright beyond that allowed by fair use requires the written permission of the copyright owners. Works not in the public domain cannot be commercially exploited without permission of the copyright owner. Responsibility for any use rests exclusively with the user. For more information contact the Institutional Repository Librarian at digitalcommons@usu.edu. |
| Source | Watershed Sciences Faculty Publications |
| Publisher | Hosted by Utah State University Libraries |
| Contributor | Public Library of Science |
| Subject | alluvial substrate mapping automated texture segmentation recreational-grade sonar imagery Ecology and Evolutionary Biology Marine Biology Physics |
