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Proceedings Paper

Automated detection of objects in sidescan sonar data
Author(s): John M. Irvine; Steven A. Israel; Stuart M. Bergeron
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Paper Abstract

Detection and mapping of subsurface obstacles is critical for safe navigation of littoral regions. Sidescan sonar data offers a rich source of information for developing such maps. Typically, data are collected at two frequencies using a sensor mounted on a towfish. The major features of interest depend on the specific mission, but often include: objects on the bottom that could pose hazards for navigation, linear features such as cables or pipelines, and the bottom type, e.g., clay, sand, rock, etc. A number of phenomena can complicate the analysis of the sonar data: Surface return, vessel wakes, fluctuations in the position and orientation of the towfish. Developing accurate maps of navigation hazards based on sidescan sonar data is generally labor intensive. We propose an automated approach, which employs commercial software tools, to detect of these objects. This method offers the prospect of substantially reducing production time for maritime geospatial data products.

Paper Details

Date Published: 1 May 2007
PDF: 8 pages
Proc. SPIE 6578, Defense Transformation and Net-Centric Systems 2007, 65781K (1 May 2007); doi: 10.1117/12.724945
Show Author Affiliations
John M. Irvine, SAIC (United States)
Steven A. Israel, SAIC (United States)
Stuart M. Bergeron, SAIC (United States)


Published in SPIE Proceedings Vol. 6578:
Defense Transformation and Net-Centric Systems 2007
Raja Suresh, Editor(s)

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