Underwater Target Detection and Localization with Feature Map and CNN-Based Classification

Author:

Guo Tiantian1,Song Yunze2,Kong Zejian3,Lim Enggee1,Lopez-Benitez Miguel4,Ma Fei5,Yu Limin1

Affiliation:

1. Xi’an Jiaotong-Liverpool University,Dept. Communications and Networking,Suzhou,China

2. Xi’an Jiaotong-Liverpool University,Dept. Electrical and Electronic Engineering,Suzhou,China

3. Xi’an Jiaotong-Liverpool University,Dept. Computing,Suzhou,China

4. University of Liverpool Liverpool,Dept. of Electrical Engineering and Electronics,Merseyside,UK

5. Xi’an Jiaotong-Liverpool University,Dept. Applied Mathematics,Suzhou,China

Funder

National Natural Science Foundation of China

Key Programme

Publisher

IEEE

Reference12 articles.

1. History and future of auditory filter models

2. The pre-response stimulus ensemble of neurons in the cochlear nucleus;johannesma,1972

3. Extracting sub-glottal and Supra-glottal features from MFCC using convolutional neural networks for speaker identification in degraded audio signals

4. Feature extraction of ship-rediated noise based on mel frequency ceptrum coefficients;lu;Ship Science and Technology,2004

5. An Underwater Acoustic Target Recognition Method Based on Restricted Boltzmann Machine

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