Wednesday (Group 2) - SERDP-ESTCP - Strategic Environmental ...

Munitions Management (MM)
Poster Number 25 – Wednesday
Ground Based Detection and Discrimination — EMI & Magnetometers / Modeling & Processing
A
DEMONSTRATION OF DIGITAL GEOPHYSICS ON ACTUAL UXO SITES
LAWRENCE CARIN
Signal Innovations Group, Inc.
1009 Slater Road
Suite 200
Durham, NC 27703
(919) 475-2151
lcarin@siginnovations.com
CO-PERFORMERS: Levi Kennedy and Xiangyang Zhu (Signal Innovations Group, Inc.)
dvanced digital geophysics technology are being demonstrated on actual UXO sites. In this
poster we will report on the underlying technology, and show results for the Sibert study, as
well as preparation for the San Luis Obispo study. The technology is based on advanced
techniques from machine learning and statistics. For example, information-theoretic measures
are employed to define the expected information content one may accrue by excavating an item
for the purpose of learning its label. This is termed active learning, and it is characterized by two
excavation stages. In the first, it is assumed that no labeled (training) data exists, and excavation
is performed with the purpose of learning labels on most-informative signatures. Here “most
informative” means that these labels, if acquired, will most reduce uncertainty in a classifier
design. This first phase of excavation continues until the algorithm indicates no more
information will be accrued by further excavation. Then, using the labeled data acquired in the
first phase, a classifier is designed, from which a prioritized dig list is specified for the second
(more traditional) excavation phase, which has the purpose of excavating all UXO and leaving
non-UXO items behind. We examine this process in both a supervised and semi-supervised
setting.
This project has been supported under ESTCP MM-0501.
G-5