Feature-based processing of prescreener-generated alarms for performance improvements in target identification using the NIITEK ground-penetrating radar system

Peter A. Torrione; Chandra S. Throckmorton; Leslie M. Collins; J. Fred Clodfelter; Shane Frasier; Ian Starnes; Steven S. Bishop; Peter Gugino; Peter Howard; Richard C. Weaver; Erik Rosen

doi:10.1117/12.540926

21 September 2004 Feature-based processing of prescreener-generated alarms for performance improvements in target identification using the NIITEK ground-penetrating radar system

Peter A. Torrione, Chandra S. Throckmorton, Leslie M. Collins, J. Fred Clodfelter, Shane Frasier, Ian Starnes, Steven S. Bishop, Peter Gugino, Peter Howard, Richard C. Weaver, Erik Rosen

Author Affiliations +

Proceedings Volume 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX; (2004) https://doi.org/10.1117/12.540926
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

In this paper we present a multi-stage algorithm for target/clutter discrimination and target identification using the Niitek/Wichmann ground penetrating radar (GPR). To identify small subsets of GPR data for feature-processing, a pre-screening algorithm based on the 2-D lattice least mean squares (LMS) algorithm is used to flag locations of interest. Features of the measured GPR data at these flagged locations are then generated and pattern recognition techniques are used to identify targets using these feature sets. It has been observed that trained human subjects are often quite successful at discriminating targets from clutter. Some features are designed to take advantage of the visual aberrations that a human observer might use. Other features based on a variety of image and signal processing techniques are also considered. Results presented indicate improvements for feature-based processors over pre-screener algorithms.

Citation Download Citation

Peter A. Torrione, Chandra S. Throckmorton, Leslie M. Collins, J. Fred Clodfelter, Shane Frasier, Ian Starnes, Steven S. Bishop, Peter Gugino, Peter Howard, Richard C. Weaver, and Erik Rosen "Feature-based processing of prescreener-generated alarms for performance improvements in target identification using the NIITEK ground-penetrating radar system", Proc. SPIE 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX, (21 September 2004); https://doi.org/10.1117/12.540926

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