Share Email Print

Proceedings Paper

A fast target detection algorithm for underwater synthetic aperture sonar imagery
Author(s): A. Galusha; G. Galusha; J. M. Keller; A. Zare
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The ability to discern the characteristics of the seafloor has many applications. Due to minimal visibility, Synthetic Aperture Sonar Imagery (SAS) uses sonar to produce a texture map of the seabed below. In this paper, we discuss an approach to detecting targets from varying seafloor contexts. The approach begins with one or more anomaly detecting prescreeners that use minimal information about targets and that can be applied under various seafloor conditions. In addition, these anomaly detectors see multiple fusion experiments and manipulation to bolster and account for unique target characteristics. Suppressed hits or peaks in the resultant confidence surface, are further processed for scoring. Through ROC curve production and areas under their curves, detection effectiveness becomes simple to distinguish. Attention is paid to determine performance with respect to seafloor type from various locations. The approach is tested on a SAS data collection conducted by the U.S. Navy.

Paper Details

Date Published: 30 April 2018
PDF: 13 pages
Proc. SPIE 10628, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIII, 106280Z (30 April 2018); doi: 10.1117/12.2304976
Show Author Affiliations
A. Galusha, Univ. of Missouri (United States)
G. Galusha, Univ. of Missouri (United States)
J. M. Keller, Univ. of Missouri (United States)
A. Zare, Univ. of Florida (United States)

Published in SPIE Proceedings Vol. 10628:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIII
Steven S. Bishop; Jason C. Isaacs, Editor(s)

© SPIE. Terms of Use
Back to Top