19 May 2005 Sonification enhances target detection in multi-band imagery
Author Affiliations +
Abstract
Growing military requirements and shorter timelines are placing greater demands on imagery analysts. At the same time, advances in sensor technology have vastly increased the quantity and types of imagery data available. Together, these factors are driving toward greater reliance on automated exploitation tools, such as automated target cueing (ATC). Several studies indicate that operational performance depends not only on the accuracy of the ATC algorithm, but also on effectively conveying the ATC information to the user. Sonification, the presentation of information through audio signals, provides a novel method for assisting analysts with visual search tasks. This paper presents a recent proof-of-concept experiment in which analysts search for geometric targets in synthetic, two-band color imagery. The performance results indicate that sonification can enhance performance, particularly through false alarm mitigation. The range of performance across users also suggests that user training may play a big role in effective operational use of sonification methods.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John M. Irvine and Steven A. Israel "Sonification enhances target detection in multi-band imagery", Proc. SPIE 5807, Automatic Target Recognition XV, (19 May 2005); doi: 10.1117/12.603919; https://doi.org/10.1117/12.603919
PROCEEDINGS
9 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

A semi learning algorithm for noise rejection an fNIRS...
Proceedings of SPIE (February 16 2017)
Collaborative SDOCT segmentation and analysis software
Proceedings of SPIE (March 12 2017)
New approach in automatic target recognition
Proceedings of SPIE (September 15 2003)
ATR workbench for automating image analysis
Proceedings of SPIE (September 11 2003)

Back to Top