
Proceedings Paper
Context-dependent fusion for landmine detection with ground-penetrating radarFormat | Member Price | Non-Member Price |
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Paper Abstract
We present a novel method for fusing the results of multiple landmine detection algorithms that use different types of
features and different classification methods. The proposed fusion method, called Context-Dependent Fusion (CDF) is
motivated by the fact that the relative performance of different detectors can vary significantly depending on the mine type,
geographical site, soil and weather conditions, and burial depth. The training part of CDF has two components: context
extraction and algorithm fusion. In context extraction, the features used by the different algorithms are combined and
used to partition the feature space into groups of similar signatures, or contexts. The algorithm fusion component assigns
an aggregation weight to each detector in each context based on its relative performance within the context. Results on
large and diverse Ground Penetrating Radar data collections show that the proposed method can identify meaningful and
coherent clusters and that different expert algorithms can be identified for the different contexts. Our initial experiments
have also indicated that the context-dependent fusion outperforms all individual detectors.
Paper Details
Date Published: 27 April 2007
PDF: 10 pages
Proc. SPIE 6553, Detection and Remediation Technologies for Mines and Minelike Targets XII, 655321 (27 April 2007); doi: 10.1117/12.722240
Published in SPIE Proceedings Vol. 6553:
Detection and Remediation Technologies for Mines and Minelike Targets XII
Russell S. Harmon; J. Thomas Broach; John H. Holloway Jr., Editor(s)
PDF: 10 pages
Proc. SPIE 6553, Detection and Remediation Technologies for Mines and Minelike Targets XII, 655321 (27 April 2007); doi: 10.1117/12.722240
Show Author Affiliations
Published in SPIE Proceedings Vol. 6553:
Detection and Remediation Technologies for Mines and Minelike Targets XII
Russell S. Harmon; J. Thomas Broach; John H. Holloway Jr., Editor(s)
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