Landmine detection via multivariate image analysis

Paulo Maranhão, Leandro Andraos, Rodrigo Guedes and Eugenio Epprecht

The Journal of Defense Modeling and Simulation, 2023, vol. 20, issue 3, 391-401

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.

Keywords: Landmine; detection; multivariate image analysis; infrared; monitoring (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/15485129221082048 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:joudef:v:20:y:2023:i:3:p:391-401

DOI: 10.1177/15485129221082048

Access Statistics for this article

More articles in The Journal of Defense Modeling and Simulation
Bibliographic data for series maintained by SAGE Publications ().