Underwater Acoustic Target Recognition Based on Supervised Feature-Separation Algorithm

For the purpose of improving the accuracy of underwater acoustic target recognition with only a small number of labeled data, we proposed a novel recognition method, including 4 steps: pre-processing, pre-training, fine-tuning and recognition. The 4 steps can be explained as follows: (1) Pre-process...

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Detalles Bibliográficos
Autores principales: Ke, Xiaoquan, Yuan, Fei, Cheng, En
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308667/
https://www.ncbi.nlm.nih.gov/pubmed/30544540
http://dx.doi.org/10.3390/s18124318

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308667/
https://www.ncbi.nlm.nih.gov/pubmed/30544540
http://dx.doi.org/10.3390/s18124318

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