Accession Number:

ADB224271

Title:

Development of Data Fusion Algorithms for Detecting and Identifying Ordnance with Magnetometers and Ground Penetrating Radar.

Descriptive Note:

Final rept.,

Corporate Author:

LEACH (EUGENE R) AND ASSOCIATES COLUMBUS OH

Personal Author(s):

Report Date:

1996-09-20

Pagination or Media Count:

144.0

Abstract:

This report records work performed to develop data fusion algorithms to detect buried unexploded ordnance with magnetometers and ground penetrating radar. Task 1 characterized the performance of a cesium magnetometer, a gradiometer, and a 3-axis fiber optic magnetometer. Data which were measured andor generated by validated models were used to develop a set of appropriate target features that could be used to identify and characterize buried ordnance. The applicability of applying techniques such as the use of neural nets, fuzzy logic and wavelets to the ordnance detection and identification problem were also evaluated.

Subject Categories:

  • Cybernetics
  • Magnetic and Electric Field Detection and Detectors
  • Ammunition and Explosives

Distribution Statement:

APPROVED FOR PUBLIC RELEASE