Detection and Discrimination in One-Pass Using the OPTEMA Towed-Array
Abstract
The primary objective of this demonstration was to assess the feasibility of acquiring classification quality data during dynamic Electromagnetic Induction (EMI) surveys of Munitions Response Sites (MRS). The process of obtaining both detection and classification data during a single dynamic survey is known as the one-pass or dynamic classification method of data collection. By demonstrating the dynamic classification methodology using the One Pass Time-domain EMI Array (OPTEMA) to survey areas of the Aberdeen Proving Ground (APG) Standardized UXO Technology Demonstration Site, we acquired a baseline data set that allowed us to quantify the detection and classification performance enabled by this methodology with performance metrics (e.g., probability of detection, probability of false alarm, etc.) corresponding to a standard set of test items. The intent of this demonstration was to determine if the dynamic classification approach can enable detection and classification performance comparable to that of the existing set of cued classification sensors.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 01, 2014
- Accession Number
- ADA621902
Entities
People
- Fridon Shubitidze
- Gregory Schultz
- Joe Keranen
- Jonathan S. Miller