AIS Data Aided Rayleigh CFAR Ship Detection Algorithm of Multiple-Target Environment in SAR Images-Reference-Cited by-同舟云学术

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AIS Data Aided Rayleigh CFAR Ship Detection Algorithm of Multiple-Target Environment in SAR Images

Published:2021 Issue: Volume: Page:1-1
ISSN:0018-9251
Container-title:IEEE Transactions on Aerospace and Electronic Systems
language:
Short-container-title:IEEE Trans. Aerosp. Electron. Syst.

Author:

Ai Jiaqiu,Pei Zhilin,Yao Baidong,Wang Zhaocheng,Xing Mengdao

Funder

Fundamental Research Funds for the Central Universities of China

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Aerospace Engineering

Link

http://xplorestaging.ieee.org/ielx7/7/7778228/09535229.pdf?arnumber=9535229

Cited by 21 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. Data Matters: Rethinking the Data Distribution in Semi-Supervised Oriented SAR Ship Detection;Remote Sensing;2024-07-11

2. Vehicle Detection in High-Resolution Polsar Images Via GP-PNF Distribution Modeling;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. An Adaptive Nonlinear Phase Error Estimation and Compensation Method for Terahertz Radar Imaging System;IEEE Journal on Miniaturization for Air and Space Systems;2024-06

4. Block-based Self-organizing TDMA for Reliable VDES in SANETs;KSII Transactions on Internet and Information Systems;2024-02-29

5. A Zero-Shot NAS Method for SAR Ship Detection Under Polynomial Search Complexity;IEEE Signal Processing Letters;2024

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