Comparison of prescreening algorithms for target detection in synthetic aperture sonar imagery

Princess Lyons; Daniel Suen; Aquila Galusha; Alina Zare; James Keller

doi:10.1117/12.2305175

30 April 2018 Comparison of prescreening algorithms for target detection in synthetic aperture sonar imagery

Princess Lyons, Daniel Suen, Aquila Galusha, Alina Zare, James Keller

Proceedings Volume 10628, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIII; 1062811 (2018) https://doi.org/10.1117/12.2305175
Event: SPIE Defense + Security, 2018, Orlando, FL, United States

Abstract

Automated anomaly and target detection are commonly used as a prescreening step within a larger target detection and target classification framework to find regions of interest for further analysis. A number of anomaly and target detection algorithms have been developed in the literature for application to target detection in Synthetic Aperture Sonar (SAS) imagery. In this paper, a comparison of two anomaly and one target detection algorithm for target detection in synthetic aperture sonar is presented. In the comparison, each method is tested on a large set of real sonar imagery and results are evaluated using receiver operating characteristic curves. The results are compiled and quantitatively shown to highlight the strengths and weakness of the variety of approaches within various sea-floor environments and on particular target shapes and types.

Citation Download Citation

Princess Lyons, Daniel Suen, Aquila Galusha, Alina Zare, and James Keller "Comparison of prescreening algorithms for target detection in synthetic aperture sonar imagery", Proc. SPIE 10628, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIII, 1062811 (30 April 2018); https://doi.org/10.1117/12.2305175

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available