Adaptive Moving Ground-Target Detection Method Based on Seismic Signal-Reference-Cited by-同舟云学术

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Adaptive Moving Ground-Target Detection Method Based on Seismic Signal

Published:2022 Issue: Volume:19 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Zhou Qiuzhan¹,Yao Xinyi¹^ORCID,Wang Cong¹^ORCID,Hu Jikang¹,Liu Pingping²^ORCID,Lin Jun³^ORCID

Affiliation:

1. College of Communication Engineering, Jilin University, Changchun, China

2. College of Computer Science and Technology, Jilin University, Changchun, China

3. College of Instrumentation and Electrical Engineering, Jilin University, Changchun, 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/ielx7/8859/9651998/09718331.pdf?arnumber=9718331

Reference12 articles.

1. Time–frequency analysis based robust vehicle detection using seismic sensor

3. Detection of an Intruder and Prediction of His State of Motion by Using Seismic Sensor

4. Seismic Target Recognition Based on Parallel Recurrent Neural Network for Unattended Ground Sensor Systems

5. Performance Evaluation of a Real-Time Seismic Detection System Based on CFAR Detectors

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. Intrusion Target Classification Based on Seismic Signals Using Parallel Neural Network With Time/Frequency Dimension Reduction;IEEE Sensors Journal;2024-03-01

2. Moving Point Target Detection Based on Temporal Transient Disturbance Learning in Low SNR;Remote Sensing;2023-05-11

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