Human Activity Classification Based on Micro-Doppler Signatures Using a Support Vector Machine-Reference-Cited by-同舟云学术

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Human Activity Classification Based on Micro-Doppler Signatures Using a Support Vector Machine

Published:2009-05 Issue:5 Volume:47 Page:1328-1337
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Youngwook Kim ,Hao Ling

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx5/36/4815947/04801689.pdf?arnumber=4801689

Cited by 570 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

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2. 3D-STARNET: Spatial–Temporal Attention Residual Network for Robust Action Recognition;Applied Sciences;2024-08-15

3. A micro-Doppler spectrogram denoising algorithm for radar human activity recognition;Signal Processing;2024-08

4. Improving human activity classification based on micro-doppler signatures of FMCW radar with the effect of noise;PLOS ONE;2024-08-01

5. SRCNN: Stacked-Residual Convolutional Neural Network for Improving Human Activity Classification Based on Micro-Doppler Signatures of FMCW Radar;Journal of Electromagnetic Engineering and Science;2024-07-31

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