Embedding target discrimination capabilities into handheld detectors for humanitarian demining

Autor: Peyton, Anthony J., Van Verre, Wouter, Gao, Xianyang, Marsh, Liam A., Podd, Frank J., Daniels, David J., Ambruš, Davorin, Vasić, Darko, Bilas, Vedran
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Popis: Metal detection (MD) remains a dominant detection technology for humanitarian demining and the decades of its use have brought steady improvements in sensitivity and the ability to discriminate in increasingly uncooperative soils. Recently, dual mode MD and ground penetrating radar (GPR) systems have been deployed in increasing numbers. The radar is typically used to verify indications from the metal detector in order to reduce false alarms. Reports indicate that this can reduce the false alarm rate from metal clutter by over an order of magnitude. This paper considers the technical framework for moving hand-held detectors to a point where they can discriminate what the detected object might be.
Databáze: OpenAIRE