4 September 1998 Area-based results for mine detection
Author Affiliations +
The cost, and the closely related length of time, spent in searching for mines or unexploded ordnance (UXO) may well be largely determined by the number of false alarms. False alarms result in time consuming digging of soil or in additional multisensory tests in the minefield. In this paper we consider two area based methods for reducing false alarms. These are (1) the previously known 'declaration' technique, and (2) the new (delta) -Technique which we introduce. We first derive expressions and lower bounds for false alarm probabilities as a function of declaration area, and discuss their impact on receiver operation characteristic (ROC) curves. Secondly we exploit characteristics of the statistical distribution of sensory energy in the immediate neighborhood of targets and of false alarms from available calibrated data, to propose the (delta) -Technique which significantly improves discrimination between targets and false alarms. The results are abundantly illustrated with statistical data and ROC curves using Electromagnetic Induction Sensor data made available through DARPA from measurements at various calibrated sites.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Erol Gelenbe, Taskin Kocak, "Area-based results for mine detection", Proc. SPIE 3392, Detection and Remediation Technologies for Mines and Minelike Targets III, (4 September 1998); doi: 10.1117/12.324259; https://doi.org/10.1117/12.324259


Land mines


Detection and tracking algorithms

Target detection



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