A methodology for detection and localization of dynamite fishing

The illegal practice of dynamite fishing upsets the balance of an ecosystem and can endanger human lives as well. Detection and localization of such activity is necessary from several viewpoints. A methodology for detection and localization of such dynamite blasts is presented in this paper. The sound signals are recorded using an array of sensors, filtered, and classified using an artificial neural network. The location of the sound-source is also simultaneously determined using these measured signals.