Robust principal component analysis for micro-doppler based automatic target recognition
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Summary
The Robust PCA based on the Minimum Covariance Determinant (MCD) estimator is introduced to improve the overall classiffcation accuracy.
- Type
- article
- Published
- 2013-10-01
- Cited by
- 3
- References
- 12
- OpenAlex
- https://openalex.org/W117351137
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:55361072
Keywords
Principal component analysis, Pattern recognition (psychology), Artificial intelligence, Covariance, Computer science
References
- 'The Micro-Doppler Effect in Radar' by V.C. Chen
- A Fast Algorithm for the Minimum Covariance Determinant Estimator
- Classification of ground moving radar targets by using joint time-frequency analysis
- Evaluation of a micro-Doppler classification method on mm-wave data
- Micro-Doppler based target classification using multi-feature integration
- Ground moving target classification by using DCT coefficients extracted from micro-Doppler radar signatures and artificial neuron network
- Principal Component Analysis
- Human Activity Classification Based on Micro-Doppler Signatures Using a Support Vector Machine
- Robust multiband detection of thermal anomalies using the Minimum Covariance Determinant estimator
- GMM-based target classification for ground surveillance Doppler radar
- The Micro-Doppler Effect in Radar
- Multivariate estimation with high breakdown point
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