False Alarm Suppressing for Passive Underwater Acoustic Target Detecting with Improved Clustering

This study introduces an intelligent detection method for Bearing Time Records (BTR) that leverages computer vision and unsupervised learning techniques. By implementing Global-Local Peak initialization, adaptive clustering, and a novel fuzzy threshold method, the system achieves 100 % accuracy in simulations and demonstrates exceptional performance in real marine environments.