Shadow classification performances evaluation of Mine Hunting Sonar

Franck Florin (1) , Isabelle Quidu (2) , Naig Le Bouffant (3)

1 TUS - Thales Underwater Systems
2 E3I2 - Extraction et Exploitation de l'Information en Environnements Incertains
3 IFREMER - Institut Français de Recherche pour l'Exploitation de la Mer

Modern mines have become very stealthy. Sonar systems, designed to detect them, will now also hand over to the classification process many more small non-mine bottom objects, with mine-like target strength. Hence, the classification process is now called upon much more often than it was in the past, hereby increasing its share in the overall mine hunting effort. In order to evaluate the global performance of the mine hunting operation, the performance of the classification process and especially the shadow classification process has to be evaluated. This performance is described by COC (Classification Operational Characteristics) curves which give the probability of classification (Pc) and the probability of false classification (Pfc) as functions of sonar characteristics and operational conditions. The paper describes the operational incidence of this new approach for shadow classification performance evaluation.

Domaines: Traitement du signal et de l'image [eess.SP]; Acoustique [physics.class-ph]; Acoustique [physics.class-ph]; Traitement du signal et de l'image [eess.SP]

Franck Florin, Isabelle Quidu, Naig Le Bouffant. Shadow classification performances evaluation of Mine Hunting Sonar. Undersea Defence Technology (UDT) Asia 2003, Nov 2003, Singapore. ⟨hal-00504859⟩