Deep Learning-Based Classification of Raw Hydroacoustic Signal: A Review
Underwater target recognition is a research component that is crucial to realizing crewless underwater detection missions and has significant prospects in both civil and military applications. This paper provides a comprehensive description of the current stage of deep-learning methods with respect...
Main Authors: | Xu Lin, Ruichun Dong, Zhichao Lv |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-12-01
|
Series: | Journal of Marine Science and Engineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-1312/11/1/3 |
Similar Items
-
Study of Low-Frequency Hydroacoustic Waves’ Behavior at the Shelf of Decreasing Depth
by: Grigory I. Dolgikh, et al.
Published: (2020-05-01) -
Variability of Hydroacoustic Noise Probability Density Function at the Output of Automatic Gain Control System
by: Sergey Gorovoy, et al.
Published: (2018-01-01) -
Use of Hydroacoustic Methods to Assess Ecological Status Based on Fish: A Case Study of Lake Dejguny (Poland)
by: Andrzej Hutorowicz
Published: (2024-01-01) -
The Hydroacoustic Network of the CTBT International Monitoring System: Access and Exploitation
by: Steven J. Gibbons
Published: (2022-07-01) -
Application of Diversity Combining with RLS Adaptive Filtering in Data Transmission in a Hydroacoustic Channel
by: Agnieszka Czapiewska, et al.
Published: (2020-12-01)