Identifying minefields and verifying clearance: adapting statistical methods for UXO target detection

Richard O. Gilbert; Robert F. O'Brien; John E. Wilson; Brent A. Pulsipher; Craig A. McKinstry

doi:10.1117/12.487363

11 September 2003 Identifying minefields and verifying clearance: adapting statistical methods for UXO target detection

Richard O. Gilbert, Robert F. O'Brien, John E. Wilson, Brent A. Pulsipher, Craig A. McKinstry

Proceedings Volume 5089, Detection and Remediation Technologies for Mines and Minelike Targets VIII; (2003) https://doi.org/10.1117/12.487363
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

It may not be feasible to completely survey large tracts of land suspected of containing minefields. It is desirable to develop a characterization protocol that will confidently identify minefields within these large land tracts if they exist. Naturally, surveying areas of greatest concern and most likely locations would be necessary but will not provide the needed confidence that an unknown minefield had not eluded detection. Once minefields are detected, methods are needed to bound the area that will require detailed mine detection surveys. The US Department of Defense Strategic Environmental Research and Development Program (SERDP) is sponsoring the development of statistical survey methods and tools for detecting potential UXO targets. These methods may be directly applicable to demining efforts. Statistical methods are employed to determine the optimal geophysical survey transect spacing to have confidence of detecting target areas of a critical size, shape, and anomaly density. Other methods under development determine the proportion of a land area that must be surveyed to confidently conclude that there are no UXO present. Adaptive sampling schemes are also being developed as an approach for bounding the target areas. These methods and tools will be presented and the status of relevant research in this area will be discussed.

Citation Download Citation

Richard O. Gilbert, Robert F. O'Brien, John E. Wilson, Brent A. Pulsipher, and Craig A. McKinstry "Identifying minefields and verifying clearance: adapting statistical methods for UXO target detection", Proc. SPIE 5089, Detection and Remediation Technologies for Mines and Minelike Targets VIII, (11 September 2003); https://doi.org/10.1117/12.487363

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KEYWORDS

Target detection

Sensors

Tantalum

Monte Carlo methods

Land mines

Statistical methods

Data modeling

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