Unsupervised High-Level Feature Extraction of SAR Imagery With Structured Sparsity Priors and Incremental Dictionary Learning

@article{Chen2016UnsupervisedHF,
  title={Unsupervised High-Level Feature Extraction of SAR Imagery With Structured Sparsity Priors and Incremental Dictionary Learning},
  author={Jiawei Chen and Licheng Jiao and Wenping Ma and Hongying Liu},
  journal={IEEE Geoscience and Remote Sensing Letters},
  year={2016},
  volume={13},
  pages={1467-1471}
}
Sparse representation is an effective model for high-level feature extraction, and the dictionary is critical, since it can provide a sparse and discriminative feature for image classification. However, the traditional sparse model with ℓ1- norm is unstable and ignores spatial context dependence. Furthermore, the traditional off-line dictionary learning is… CONTINUE READING