Radar Signal Classification Using Pca-Based Features

@article{Mishra2006RadarSC,
  title={Radar Signal Classification Using Pca-Based Features},
  author={Amit K. Mishra and Bernard Mulgrew},
  journal={2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings},
  year={2006},
  volume={3},
  pages={III-III}
}
Principal component analysis (PCA) has been used in many applications ranging from social science to space science, for the purpose of data compression and feature extraction. Usage of PCA for synthetic aperture radar (SAR) image classification, though widely reported by remote-sensing researchers, has not been exploited much by automatic target recognition (ATR) community. In the present paper, PCA has been used in SAR-ATR using the MSTAR data base, and comparison has been made with the… CONTINUE READING
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