Dynamic template-matching-based processing for handheld landmine detector

摘要

This paper investigates the use of landmine templates in the GPR data to improve the detection accuracy for a hand-held mine detection unit. The proposed algorithm applies to the discrimination operating mode after the initial detection from the search mode. The proposed template matching-based algorithm extracts the mine templates from the data acquired during the first few sweeps, and correlates the templates from the data at subsequent sweeps to enhance the detection of landmine. The proposed technique does not have a time lag in producing detection values and a detection value is generated at each sample location. Experimental results show that the proposed template matching-based detector is able to increase the detection especially for low-metal anti-personnel mines. Based on the experiment performed over the data set collected at a test site, at 95% Pd, the proposed algorithm reduces the probability of false alarms by 66% for the low-metal anti-personnel mines and 30% for the low-metal anti-tank mines.