Title

Area-Based Results For Mine Detection

Abstract

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 multi-sensory tests in the minefield. In this paper, we consider two area-based methods for reducing false alarms. These are: a) the previously known `declaration' technique and b) the new δ 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. Second, 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 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.

Publication Date

1-1-2000

Publication Title

IEEE Transactions on Geoscience and Remote Sensing

Volume

38

Issue

1 I

Number of Pages

12-24

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/36.823897

Socpus ID

0033903021 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0033903021

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