Share Email Print

Proceedings Paper

The efficacy of human observation for discrimination and feature identification of targets measured by the NIITEK ground-penetrating radar
Author(s): Chandra S. Throckmorton; Peter A. Torrione; Leslie M. Collins; Paul D. Gader; Wen-Hsiung Lee; Joseph N. Wilson
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Recently, blind tests of several automated detection algorithms operating on the NIITEK ground penetrating radar data (GPR) have resulted in quite promising performance results. Anecdotally, human observers have also shown notable skill in detecting landmines and rejecting false alarms in this same data; however, the basis of human performance has not been studied in depth. In this study, human observers are recruited from the undergraduate and graduate student population at Duke University and are trained to visually detect landmines in the NIITEK GPR data. Subjects are then presented with GPR responses associated with blanks, clutter items (including emplaced clutter), and landmines in a blind test scenario. Subjects are asked to make the decision as to whether they are viewing a landmine response or a false alarm, and their performance is scored. A variety of landmines, measured at several test sites, are presented to determine the relative difficulty in detecting each mine type. Subject performance is compared to the performance of two automated algorithms already under development for the NIITEK radar system: LMS and FROSAW. In addition, subjects are given a subset of features for each alarm from which they may indicate the reason behind their decision. These last data may provide a basis for the design of an automated algorithm that takes advantage of the most useful of the observed features.

Paper Details

Date Published: 21 September 2004
PDF: 10 pages
Proc. SPIE 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX, (21 September 2004); doi: 10.1117/12.541168
Show Author Affiliations
Chandra S. Throckmorton, Duke Univ. (United States)
Peter A. Torrione, Duke Univ. (United States)
Leslie M. Collins, Duke Univ. (United States)
Paul D. Gader, Univ. of Florida (United States)
Wen-Hsiung Lee, Univ. of Florida (United States)
Joseph N. Wilson, Univ. of Florida (United States)

Published in SPIE Proceedings Vol. 5415:
Detection and Remediation Technologies for Mines and Minelike Targets IX
Russell S. Harmon; J. Thomas Broach; John H. Holloway Jr., Editor(s)

© SPIE. Terms of Use
Back to Top