Space Target Anomaly Detection Based on Gaussian Mixture Model and Micro-Doppler Features-Reference-Cited by-同舟云学术

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Space Target Anomaly Detection Based on Gaussian Mixture Model and Micro-Doppler Features

Published:2022 Issue: Volume:60 Page:1-11
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Wang Jianwen¹^ORCID,Li Gang¹^ORCID,Zhao Zhichun²^ORCID,Jiao Jian¹,Ding Shuai³,Wang Kunpeng⁴,Duan Meiya⁴

Affiliation:

1. Department of Electronic Engineering, Tsinghua University, Beijing, China

2. Department of Engineering, Shenzhen MSU-BIT University, Shenzhen, China

3. 38th Research Institute, China Electronics Technology Group Corporation, Hefei, China

4. Beijing Institute of Tracking and Telecommunications Technology, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09915454.pdf?arnumber=9915454

Cited by 3 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. Polarimetric Range Extended Target Detection via Adaptive Range Weighted Feature Extraction;Remote Sensing;2023-06-04

2. An Adjustable Feature-Weighted Bayesian Model for Hybrid Satellite Telemetry Variables Anomaly Detection Under Multioperating Conditions;IEEE Transactions on Instrumentation and Measurement;2023

3. Detection Method of Radar Space Target Abnormal Motion via Local Density Peaks and Micro-Motion Feature;IEEE Geoscience and Remote Sensing Letters;2023

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