A Primary Study in Adaptive Clutter Reduction and Buried Minelike Target Enhancement From GPR Data

摘要

This paper describes the theory and practice of ground penetrating radar (GPR) clutter characterization and removal. Clutter and target parametric and non-parametric modeling methods are described and results of these methods on laboratory data are presented. Data were collected at the Technische Universitat Ilmenau (TUI) using a 6 GHz frequency-stepped GPR. Targets were chosen to include roacks and other non-lethal clutter which normally present false targets to the GPR. Results indicate a quantifiable improvement in target class discrimination using the clutter reduction methods over standard mean background removal methods.