Context-dependent fusion for landmine detection with ground penetrating radar

Hichem Frigui, Lijun Zhang, Paul Gader, Dominic Ho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

27 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationDetection and Remediation Technologies for Mines and Minelike Targets XII
DOIs
StatePublished - Nov 15 2007
EventDetection and Remediation Technologies for Mines and Minelike Targets XII - Orlando, FL, United States
Duration: Apr 11 2007Apr 12 2007

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6553
ISSN (Print)0277-786X

Other

OtherDetection and Remediation Technologies for Mines and Minelike Targets XII
CountryUnited States
CityOrlando, FL
Period4/11/074/12/07

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Frigui, H., Zhang, L., Gader, P., & Ho, D. (2007). Context-dependent fusion for landmine detection with ground penetrating radar. In Detection and Remediation Technologies for Mines and Minelike Targets XII [655321] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 6553). https://doi.org/10.1117/12.722240