Unsupervised sar imagery feature learning with median filter-based loss value

HIGHLIGHTS

• who: Krzysztof Gromada from the Institute of Automatic Control and Robotics, Warsaw University of Technology, ABoboli , St have published the research work: Unsupervised SAR Imagery Feature Learning with Median Filter-Based Loss Value, in the Journal: Sensors 2022, 22, 6519. of /2022/
• what: The aim was to provide a novel approach for better autoencoder pretraining, which can be later used for transfer learning. The aim of the noise application is to perform statistical analysis (see Section 6.2). For these reasons, the paper focused purely on training with real data.
• how: This paper . . .
  

   

  

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