UXO Data Analysis
Abstract
Currently, sensor systems exist that can detect and localize buried metal objects of a wide size and depth range. These sensors typically measure the active and/or passive magnetic properties of buried metal objects. In some cases, the sensor measures the dielectric contrast of the buried object (e.g., ground penetrating radar (GPR)). While current technology has shown the ability to detect these buried metal objects discriminating the UXO from metal objects that pose no risk, i.e. clutter, is still a major problem. These clutter objects represent a false alarm (FA) to the detection system. The time to remediate a site with a high clutter to UXO ratio is not cost effective. Discrimination of UXO from clutter, a reduction in the false alarm rate (FAR), would lower the site cleanup cost. The report is divided into several sections. Section 2 describes the basic project objectives. Section 3 briefly describes the technical approach used in the UXO signature analysis and spatial signal processing. Section 4 summarizes the results of the project and Section 5 lists project recommendations. Section 6 summarizes some conclusions for the project while Section 7 makes recommendations for possible future work.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 29, 2002
- Accession Number
- ADA481095
Entities
People
- Carl V. Nelson
- Dexter G. Smith
- Mary R. Keller
Organizations
- Johns Hopkins University