Landmine detection using forward-looking ground penetrating radar

Yijun Sun; Jian Li

doi:10.1117/12.602668

10 June 2005 Landmine detection using forward-looking ground penetrating radar

Yijun Sun, Jian Li

Proceedings Volume 5794, Detection and Remediation Technologies for Mines and Minelike Targets X; (2005) https://doi.org/10.1117/12.602668
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

Landmine detection using radar is a very challenging problem due to weak signal returns of landmines and extremely complicated surveying environments. In this paper, we present a new landmine detection system using forward-looking ground penetrating radar (FLGPR), which has shown a promising result in a recently conducted blind test. The system uses wavelet packet transform and the sequential feature selection algorithm to extract the most discriminant information distributed in the joint time-frequency domain for detecting landmines. We also propose a cascade training method that allows a WPT based detector to continue learning from the errors made on the unseen environment to improve its detection performance. The effectiveness of the proposed detector is demonstrated through a blind test based on the measured FLGPR data collected over an area of 14400 square meters.

Citation Download Citation

Yijun Sun and Jian Li "Landmine detection using forward-looking ground penetrating radar", Proc. SPIE 5794, Detection and Remediation Technologies for Mines and Minelike Targets X, (10 June 2005); https://doi.org/10.1117/12.602668

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