A Target Classification Optimization Recognition and Information Extracting Method of Laser Fuze Detection System Based on Fuzzy C-Means Incremental Update and Neural Network-Reference-Cited by-同舟云学术

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A Target Classification Optimization Recognition and Information Extracting Method of Laser Fuze Detection System Based on Fuzzy C-Means Incremental Update and Neural Network

Published:2023 Issue: Volume:11 Page:131168-131177
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Wu Jie¹^ORCID,Zhang Xiaoqian²^ORCID

Affiliation:

1. School of Defense, Xi’an Technological University, Xi’an, China

2. School of Electronic and Information Engineering, Xi’an Technological University, Xi’an, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10323399.pdf?arnumber=10323399

Reference29 articles.

1. Identification of fuzzy small-sample terrain targets based on 1DC-CGAN and wavelet energy features;li;Acta Armamentarii,2022

2. A lightweight convolutional neural network target recognition method for missile-borne fuse linear array infrared and LiDAR-scanning image;wu;J Ballist,2021

3. Research on deep learning target detection and recognition method based on radar echo signal;song;Tactical Missile Technology,2021

4. Fault diagnosis fusion method for analog circuits based on wavelet and neural network;tang;J Central South Univ of Technology,2015

5. A technique of recognition for radio detected target based on wavelet and neural network theory;gui;ACTA Electron Sinica,2003

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