Detection Method of Radar Space Target Abnormal Motion via Local Density Peaks and Micro-Motion Feature-Reference-Cited by-同舟云学术

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Detection Method of Radar Space Target Abnormal Motion via Local Density Peaks and Micro-Motion Feature

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Wang Dehua¹^ORCID,Li Gang¹^ORCID,Zhao Zhichun²^ORCID,Wang Jianwen¹^ORCID,Ding Shuai³,Wang Kunpeng⁴,Duan Meiya⁴

Affiliation:

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

2. Guangdong Laboratory of Machine Perception and Intelligent Computing, Shenzhen, China

3. 38th Research Institute of 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

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/10124706.pdf?arnumber=10124706

Reference26 articles.

1. Anomaly Based Sea-Surface Small Target Detection Using K-Nearest Neighbor Classification

2. SVM-Based Sea-Surface Small Target Detection: A False-Alarm-Rate-Controllable Approach

3. RSOD: Efficient Technique for Outlier Detection using Reverse Nearest Neighbors Statistics

4. Efficient kNN Classification With Different Numbers of Nearest Neighbors

5. Detection of Small Floating Targets on the Sea Surface Based on Multi-Features and Principal Component Analysis

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