MatchnMetric
• Software
A CaTE metric and algorithm that boosts ATR system robustness through simulated perfect tracking.
Publisher
Software Engineering Institute
Topic or Tag
Abstract
This CaTE-developed metric and algorithm provides system-level robustness for ML-enabled automatic target recognition (ATR) systems. The technique uses labeled data to simulate perfect tracker operation and evaluate performance, resulting in more robust and trustworthy detection and tracking capabilities.