Robust Detection, Discrimination, and Remediation of UXO: Statistical Signal Processing Approaches to Address Uncertainties Encountered in Field Test Scenarios SERDP Project MR-1663

摘要

The objective of this work was to develop methodologies that will allow the human analyst to be removed from the processing loop. It has been shown in a number of recent demonstrations that when the most skilled practitioners process geophysical data, select data chips for analysis, select features for classification, select one of a suite of classifiers, and manually tune the classifier boundaries, excellent classification performance can be achieved. Here, we aim to develop techniques to improve target characterization and reduce classifier sensitivity to imprecision in the target characterizations, thereby reducing the need for an expert human analyst.