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 can result in time consuming digging of soil or in additional multisensory tests in the minefield. The authors consider two area-based methods for reducing false alarms. These are: (a) the previously known “declaration” technique and (b) the new δ technique, which they introduce. They 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. Second, they 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 δ 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
|Translated title of the contribution||Area-based results for mine detection|
|Pages (from-to)||12 - 24|
|Number of pages||13|
|Journal||IEEE Transactions on Geoscience and Remote Sensing|
|Publication status||Published - Jan 2000|
Bibliographical notePublisher: Institute of Electrical and Electronics Engineers (IEEE)
Rose publication type: Journal article
Sponsorship: The authors wish to thank R. Dugan, T. Altshuler, and V. George for providing the experimental data upon which this study is based.
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- area-based techniques for detection
- detection of unexploded ordinance (UXO)
- electromagnetic induction sensors