Sar target recognition via incremental nonnegative matrix factorization

HIGHLIGHTS

  • who: Sihang Dang et al. from the Center for Information Geoscience, University of Electronic Science and Technology of China have published the Article: SAR Target Recognition via Incremental Nonnegative Matrix Factorization, in the Journal: (JOURNAL)
  • what: In this paper a dynamic feature learning method called matrix factorization with Lp sparse constraints (Lp -INMF) is proposed as a solution to that problem. Since feature extraction is a key process of SAR ATR , the authors aimed to develop a kind of incremental feature extraction method for SAR target features. The authors show how incremental learning can be . . .

     

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