A Meta-Learning-Based Recognition Method for Multidimensional Feature Extraction and Fusion of Underwater Targets

A Meta-Learning-Based Recognition Method for Multidimensional Feature Extraction and Fusion of Underwater Targets

To tackle the challenges of relative attitude adaptability and limited sample availability in underwater moving target recognition for active sonar, this study focuses on key aspects such as feature extraction, network model design, and information fusion. A pseudo-three-dimensional spatial feature...

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Bibliographic Details
Main Authors: Xiaochun Liu, Yunchuan Yang, Youfeng Hu, Xiangfeng Yang, Liwen Liu, Lei Shi, Jianguo Liu
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Applied Sciences
Subjects:
underwater target recognition
feature extraction
feature information fusion
meta-learning
Doppler frequency shift distribution
spatial feature
Online Access:https://www.mdpi.com/2076-3417/15/10/5744
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