Accession Number:

ADA379816

Title:

Model-Based Data Fusion and Discrimination of UXO in Magnetometry and EM Surveys

Descriptive Note:

Annual rept. for FY 1998

Corporate Author:

NAVAL RESEARCH LAB WASHINGTON DC

Personal Author(s):

• McDonald, J. R.
• Grimm, Robert

Report Date:

1998-12-25

Pagination or Media Count:

36.0

Abstract:

Locating, identifying and disposing of buried UXO on the 10 million acres of contaminated lands in the continental United States is a 500 billion dollar problem. Development of new technologies with improved data analysis has been identified as a high priority triservice requirement. Using current methods, it has been shown that false alarm detections far outnumber correctly identified ordnance. The best performing technologies typically have a false alarm rate of 300-500. The high cost of digging and siposing of targets accounts for the overwhelming portion of the costs of UXO remediation, therefore a substantial saving could be recognized if the number of false positives were reduced. Using data collected by the Naval Research Laboratorys MTADS, new software techniques are being developed to improve discrimination and reduce the false alarm rate.

Descriptors:

• *EXPLOSIVES DETECTION
• *UNEXPLODED AMMUNITION
• *SOFTWARE TOOLS
• FALSE ALARMS
• DATA FUSION
• LAND MINES
• MAGNETOMETERS

Subject Categories:

• Computer Programming and Software
• Land Mine Warfare
• Ammunition and Explosives

Distribution Statement:

APPROVED FOR PUBLIC RELEASE