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MatchnMetric

Software
By
A CaTE metric and algorithm that boosts ATR system robustness through simulated perfect tracking.
Publisher

Software Engineering Institute

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.