Design of Siamese Network for Underwater Target Recognition with Small Sample Size

Design of Siamese Network for Underwater Target Recognition with Small Sample Size

The acquisition of target data for underwater acoustic target recognition (UATR) is difficult and costly. Although deep neural networks (DNN) have been used in UATR, and some achievements have been made, the performance is not satisfactory when recognizing underwater targets with different Doppler s...

Full description

Bibliographic Details
Main Authors: Dali Liu, Wenhao Shen, Wenjing Cao, Weimin Hou, Baozhu Wang
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
small-scale sample
DEMON spectrum analysis
Siamese network
deep learning
contrast loss function
Online Access:https://www.mdpi.com/2076-3417/12/20/10659

Internet

https://www.mdpi.com/2076-3417/12/20/10659

Similar Items