SAR Target Configuration Recognition Using Locality Preserving Property and Gaussian Mixture Distribution

@article{Lin2013SARTC,
  title={SAR Target Configuration Recognition Using Locality Preserving Property and Gaussian Mixture Distribution},
  author={Xiukun Lin and Yan Wu and Peng Zhang and Qiang Zhang and Yanxin Li and Ming Li},
  journal={IEEE Geoscience and Remote Sensing Letters},
  year={2013},
  volume={10},
  pages={268-272}
}
Feature extraction is the key step of synthetic aperture radar (SAR) target configuration recognition. A statistical model embedding the locality preserving property is presented to extract the maximum amount of desired information from the data, which is of crucial help to recognition. The noise, or error, of the SAR image samples is described by a Gaussian mixture distribution, and the locality preserving property is embedded into the statistical model to focus on the problem of configuration… CONTINUE READING
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