Reference modeling for automatic target recognition

Abstract

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Automatic Target Recognition (ATR) constitutes a fundamental capability of Maritime Autonomous Vehicles, with corresponding services manifesting in a variety of forms, while relying on common core concepts - such as an overarching process and the main tasks forming it. Expanding beyond maritime contexts, such services find further application across different domains. For instance, radar systems serve both the classification of items in maritime environments and the identification of flying objects in air traffic control [1,2].