Locally-Adaptive Detection Algorithm for Forward-Looking Ground-Penetrating Radar

@inproceedings{Havens2010LocallyAdaptiveDA,
  title={Locally-Adaptive Detection Algorithm for Forward-Looking Ground-Penetrating Radar},
  author={Timothy Craig Havens and K. C. Ho and Justin Farrell and James M. Keller and Mihail Popescu and Tuan T. Ton and David C. Wong and Mehrdad Soumekh},
  year={2010}
}
This paper proposes an effective anomaly detection algorithm for a forward-looking ground-penetrating radar (FLGPR). One challenge for threat detection using FLGPR is its high dynamic range in response to different kinds of targets and clutter objects. The application of a fixed threshold for detection often yields a large number of false alarms. We propose… CONTINUE READING