Accession Number:

ADA495495

Title:

Target Picking Methods for Magnetic Data

Descriptive Note:

Corporate Author:

AETC INC ARLINGTON VA

Personal Author(s):

Report Date:

2008-09-01

Pagination or Media Count:

39.0

Abstract:

Due to the large numbers up to tens of thousands of possible targets identified in nominal unexploded ordnance UXO surveys, efficient and reliable machine-aided target pickers should be used to identify targets for subsequent characterization. When selecting anomalies, the goal is to identify all anomalous features that may be caused by UXO, while minimizing operator time and eliminating operator bias. To facilitate advanced physics-based modeling, however, the target pickers should also be able to select data appropriate to the target, i.e., to outline or estimate the anomalys spatial extent. The current approach to target selection is either manual identification or amplitude thresholding. The former is time-intensive, not clearly defined, and prone to operator bias. The latter is sensitive to noise and is prone to over- or under-picking unless judicious oversight is exercised. Neither approach provides measures for estimating the footprint of the anomaly. The impact to the Department of Defense DoD is obvious. Systematic, fast, and robust target pickers can save money and produce a defensible target list compared to the current methods.

Subject Categories:

  • Information Science
  • Target Direction, Range and Position Finding
  • Unconventional Warfare

Distribution Statement:

APPROVED FOR PUBLIC RELEASE