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Landmine detection via multivariate image analysis

Author

Listed:
  • Paulo Maranhão
  • Leandro Andraos
  • Rodrigo Guedes
  • Eugenio Epprecht

Abstract

Despite the technological advances in sensors, landmine action still causes many deaths and mutilations in several countries worldwide, and the search for efficient methods to detect mines has become a relevant issue. Thus, this work proposes a landmine detection approach using multivariate analysis of infrared (IR) images. In addition, it is proposed to monitor these images through a control chart to help identify the mine. Experiments following this approach have indicated effectiveness in the detection of landmines, enabling their safe removal.

Suggested Citation

  • Paulo Maranhão & Leandro Andraos & Rodrigo Guedes & Eugenio Epprecht, 2023. "Landmine detection via multivariate image analysis," The Journal of Defense Modeling and Simulation, , vol. 20(3), pages 391-401, July.
    • Handle: RePEc:sae:joudef:v:20:y:2023:i:3:p:391-401
    DOI: 10.1177/15485129221082048
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