Title :
Underwater target classification using wavelet packets and neural networks
Author :
Huang, Qiang ; Azimi-Sadjadi, Mahmood R. ; Tian, Bin ; Dobeck, Gerry
Author_Institution :
Dept. of Electr. Eng., Colorado State Univ., Fort Collins, CO, USA
Abstract :
A new subband-based classification scheme is developed for classifying underwater mines and mine-like targets from the acoustic backscattered signals. The system consists of a feature extractor using wavelet packets, a feature selection scheme, and a backpropagation neural network classifier. The data set used consists of the backscattered signals for seven frequency bands and six different objects: two mine-like targets and four non-targets. The targets are insonified at 72 aspect angles from 0 to 355 degrees with 5 degree increment. Simulation results on ten different realizations of this data set and for signal-to-noise ratio of 12 dB are presented. The receiver operating characteristic curve of the classifier generated based on these results demonstrates excellent classification performance of the system. In addition, the generalization ability of the trained network is demonstrated by computing the error and classification rate statistics on a large data set consists of 50 different realizations
Keywords :
acoustic signal processing; backpropagation; feature extraction; feedforward neural nets; generalisation (artificial intelligence); military computing; object recognition; pattern classification; wavelet transforms; acoustic backscattered signals; backpropagation; feature extraction; generalization; multilayer neural networks; pattern classification; underwater mines; underwater target recognition; wavelet packets; Backpropagation; Character generation; Computer networks; Data mining; Feature extraction; Frequency; Neural networks; Signal to noise ratio; Underwater acoustics; Wavelet packets;
Conference_Titel :
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4859-1
DOI :
10.1109/IJCNN.1998.682258