The Impact of False Alarm Mitigation on Surface Landmine Detection in MWIR Imagery
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. Post-processing 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 0.9 desired probability of landmine detection, experimental results show that false alarm mitigation reduces the false alarm rate by as much as 84.3% and 13.7% for daytime and nighttime images, respectively, maintaining the probability of detection at 0.85 and 0.90, respectively.
R. J. Stanley et al., "The Impact of False Alarm Mitigation on Surface Landmine Detection in MWIR Imagery," Pattern Analysis and Applications, Springer-Verlag, Jan 2004.
The definitive version is available at http://dx.doi.org/10.1007/s10044-003-0202-1
Electrical and Computer Engineering
United States. Army Research Office
Night Vision Laboratory. Countermine Division
Keywords and Phrases
RX; Airborne; Circular Harmonics; False Alarm Mitigation; Image Processing; Landmine; Transform
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