Sonification enhances target detection in multi-band imagery

John M. Irvine; Steven A. Israel

doi:10.1117/12.603919

19 May 2005 Sonification enhances target detection in multi-band imagery

John M. Irvine, Steven A. Israel

Proceedings Volume 5807, Automatic Target Recognition XV; (2005) https://doi.org/10.1117/12.603919
Event: Defense and Security, 2005, Orlando, Florida, United States

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.

Citation Download Citation

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); https://doi.org/10.1117/12.603919

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