SAR target recognition using nonnegative matrix factorization with L1/2 constraint

  title={SAR target recognition using nonnegative matrix factorization with L1/2 constraint},
  author={Zongyong Cui and Zongjie Cao and Jianyu Yang and Jilan Feng},
  journal={2014 IEEE Radar Conference},
Synthetic aperture radar automatic target recognition (SAR ATR) has been widely applied in both military and civil fields. Much work has been done to improve the performance of SAR ATR systems in which feature extraction is an important step. To obtain pattern feature in SAR ATR, Non-negative Matrix Factorization (NMF), which is a dimensionality reduction method, has been applied by some researchers, although without deeper investigation. Meanwhile, in the computer vision field, lots of… CONTINUE READING
1 Citations
12 References
Similar Papers


Publications citing this paper.


Publications referenced by this paper.
Showing 1-10 of 12 references

Learning the parts of objects using non-negative matrix factorization (nmf)

  • R. Nikolaus
  • 2007. 978-1-4799-2035-8/14/$31.00@2014 IEEE 0386
  • 2007
2 Excerpts

Similar Papers

Loading similar papers…