Entropy estimators in sar image classification

HIGHLIGHTS

  • who: Julia Cassetti et al. from the Instituto del Desarrollo Humano, Universidad Nacional de General Sarmiento, Los Polvorines, Provincia de Buenos Aires, Argentina have published the paper: Entropy Estimators in SAR Image Classification, in the Journal: Entropy 2022, 24, 509. of /2022/
  • what: The authors evaluate the performance of several parametric and non-parametric Shannon estimators as input for supervised and unsupervised classification algorithms. In the non-parametric case, the authors assess these estimators in terms of bias, mean square error, computational time, and accuracy. Differently from the approaches discussed in Refs. This approach has . . .

     

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