3-D Underwater Object Recognition Using Ultrasonic Sensor Fabricated with 1-3 type Piezoelectric Composites and Invariant moment

1-3형 복합압전체 초음파센서와 불변모멘트를 이용한 3차원 수중 물체인식

In this study, 3-D underwater object recognition using ultrasonic sensor fabricated with PZT-Polymer 1-3 type composites and invariant moment vector and SOFM(Self Organizing Feature Map) neural networks are presented. The recognition rates for the training data and the testing data were 99% and 93%, respectively.