Multispectral signal processing of synthetic aperture acoustics for side attack explosive ballistic detection

Bryce Murray; Derek T. Anderson; Robert H. Luke; Kathryn Williams

doi:10.1117/12.2262651

3 May 2017 Multispectral signal processing of synthetic aperture acoustics for side attack explosive ballistic detection

Bryce Murray, Derek T. Anderson, Robert H. Luke, Kathryn Williams

Author Affiliations +

Proceedings Volume 10182, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXII; 101821E (2017) https://doi.org/10.1117/12.2262651
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

Abstract

Substantial interest resides in identifying sensors, algorithms and fusion theories to detect explosive hazards. This is a significant research effort because it impacts the safety and lives of civilians and soldiers alike. However, a challenging aspect of this field is we are not in conflict with the threats (objects) per se. Instead, we are dealing with people and their changing strategies and preferred method of delivery. Herein, we investigate one method of threat delivery, side attack explosive ballistics (SAEB). In particular, we explore a vehicle-mounted synthetic aperture acoustic (SAA) platform. First, a wide band SAA signal is decomposed into a higher spectral resolution signal. Next, different multi/hyperspectral signal processing techniques are explored for manual band analysis and selection. Last, a convolutional neural network (CNN) is used for filter learning and classification relative to the full signal versus different subbands. Performance is assessed in the context of receiver operating characteristic (ROC) curves on data from a U.S. Army test site that contains multiple target and clutter types, levels of concealment and times of day. Preliminary results indicate that a machine learned CNN solution can achieve better performance than our previously established human engineered Fourier-based Fraz feature with kernel support vector machine classification.

Conference Presentation

Citation Download Citation

Bryce Murray, Derek T. Anderson, Robert H. Luke, and Kathryn Williams "Multispectral signal processing of synthetic aperture acoustics for side attack explosive ballistic detection", Proc. SPIE 10182, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXII, 101821E (3 May 2017); https://doi.org/10.1117/12.2262651

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