Exploiting Ground-Penetrating Radar Phenomenology in a Context-Dependent Framework for Landmine Detection and Discrimination

@article{Ratto2011ExploitingGR,
  title={Exploiting Ground-Penetrating Radar Phenomenology in a Context-Dependent Framework for Landmine Detection and Discrimination},
  author={Christopher R. Ratto and Peter Torrione and Leslie M. Collins},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2011},
  volume={49},
  pages={1689-1700}
}
A technique for making landmine detection with a ground-penetrating radar (GPR) sensor more robust to fluctuations in environmental conditions is presented. Context-dependent feature selection (CDFS) counteracts environmental uncertainties that degrade detection and discrimination performances by modifying decision rules based on inference of the environmental context. This paper utilized both physics-based and statistical methods for extracting features from GPR data to characterize surface… CONTINUE READING
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