Development of Data Fusion Algorithms for Detecting and Identifying Ordnance with Magnetometers and Ground Penetrating Radar.
LEACH (EUGENE R) AND ASSOCIATES COLUMBUS OH
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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.
- Magnetic and Electric Field Detection and Detectors
- Ammunition and Explosives