Influence of acoustic field interference structure on underwater acoustic target recognition based on a convolutional neural network
Author:
Affiliation:
1. Key Laboratory of Underwater Acoustic Environment, Institute of Acoustics, Chinese Academy of Sciences, China and University of Chinese Academy of Sciences, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3491315.3491368
Reference5 articles.
1. Effect of background internal waves on the interference structure of the sound field in a shallow sea
2. Deep-learning source localization using multi-frequency magnitude-only data;Niu Haiqiang;The Journal of the Acoustical Society of America.https://doi.org/10.,2019
3. Deep transfer learning for underwater direction of arrival using one vector sensor
4. Source depth estimation using spectral transformations and convolutional neural network in a deep-sea environment
5. Porter M. B. 1992. The KRAKEN normal mode program [J]. Porter M. B. 1992. The KRAKEN normal mode program [J].
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