3-D Underwater Object Recognition Independent of Translation Using Porous PZT Ultrasonic Sensor

다공질 압전 초음파 센서를 이용한 물체변위에 무관한 3차원 수중 물체인식

  • Published : 1997.07.21

Abstract

In this study, 3-D underwater object recognition using ultrasonic sensor fabricated with porous piezoelectric ceramics and SCL(Simple Competitive Learning) neural networks are presented. The recognition rates for the training data and the testing dara were 96 and 93%, respectively.

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