The impact of false alarm mitigation on surface la

Authors: R Joe Stanley Sanjeev Agarwal Satish Somanchi

Publish Date: 2004/02/18

Volume: 7, Issue: 1, Pages: 26-39

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Abstract

Surface landmine and minefield detection from airborne imagery is a difficult problem As part of the minefield detection process anomaly detection is performed to identify potential landmines in individual airborne images Postprocessing is performed on the initial landmines identified to reduce the number of false alarms referred to as false alarm mitigation In this research a circular harmonics transform image processing approach the CHT method and a constant false alarm rate technique the RX approach are investigated for surface landmine detection and false alarm mitigation in medium wave infrared MWIR image data The false alarm mitigation approach integrates the CHT and RX methods to identify candidate landmine locations with one technique at a given false alarm rate and applies the other technique to confirm landmine locations and eliminate potential false alarms Individual detector and false alarm mitigation experimental results are presented for 31 daytime and 43 nighttime MWIR images containing 76 and 142 landmines respectively At a 09 desired probability of landmine detection experimental results show that false alarm mitigation reduces the false alarm rate by as much as 843 and 137 for daytime and nighttime images respectively maintaining the probability of detection at 085 and 090 respectivelyThe authors would like to acknowledge ARO for the funding for this research through the multiuniversity research initiative We would also like to thank the countermine division of Night Vision Labs for making the data available for the abovementioned analysis

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