Share Email Print
cover

Proceedings Paper

Evaluation methodologies for comparison of fusion algorithms in land mine detection
Author(s): Piet B. W. Schwering; Brian A. Baertlein; Sebastiaan P. van den Broek; Frank Cremer
Format Member Price Non-Member Price
PDF $14.40 $18.00
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

Several sensor fusion approaches are in use for detection of land mines. These are based on different techniques and show different results. Meaningful comparisons of fusion algorithm performance are difficult, because the performance achievable may be limited by the data acquired and the sensors used. Especially in comparing such dissimilar situations, it is important to compare measures that are not dependent of sensor peculiarities or layout of test lanes. Nonetheless, a quantitative comparison of algorithms is necessary to identify the most effective fusion techniques. This comparison must sometimes be done when the algorithms are being applied to different data sets. In this paper we describe a methodology to evaluate the performance of sensor-fused mine-detection systems. This process can be used to compare different mine-detecting sensors in well- defined scenarios.

Paper Details

Date Published: 13 August 2002
PDF: 10 pages
Proc. SPIE 4742, Detection and Remediation Technologies for Mines and Minelike Targets VII, (13 August 2002); doi: 10.1117/12.479157
Show Author Affiliations
Piet B. W. Schwering, TNO (Netherlands)
Brian A. Baertlein, The Ohio State Univ. (United States)
Sebastiaan P. van den Broek, TNO (Netherlands)
Frank Cremer, Delft Univ. of Technology (Netherlands)


Published in SPIE Proceedings Vol. 4742:
Detection and Remediation Technologies for Mines and Minelike Targets VII
J. Thomas Broach; Russell S Harmon; Gerald J. Dobeck, Editor(s)

© SPIE. Terms of Use
Back to Top