Multiscale and Multilevel Enhanced Features for Ship Target Recognition in Complex Environments
Author:
Affiliation:
1. College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China
2. Northwest Institute of Mechanical and Electrical Engineering, Xianyang, China
Funder
National Key R&D Program of China
Intelligent Situation Awareness System for Smart Ship
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/4389054/10309841.pdf?arnumber=10309841
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. SK-MMFMNet: A multi-dimensional fusion network of remote sensing images and EEG signals for multi-scale marine target recognition;Information Fusion;2024-08
2. FE-YOLO: YOLO ship detection algorithm based on feature fusion and feature enhancement;Journal of Real-Time Image Processing;2024-03-27
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