Highly robust synthetic aperture radar target recognition method based on simulation data training

HIGHLIGHTS

• who: Liping Hu and colleagues from the Beijing, China School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China have published the paper: Highly Robust Synthetic Aperture Radar Target Recognition Method Based on Simulation Data Training, in the Journal: International Journal of Antennas and Propagation of 21/09/2022
• what: The experiments show that all the CNNs can achieve incredible recognition performance on the nonhomologous SAR data and the RegNetX-3.2GF achieves state-of-the-art performance up to 84.81%. The authors introduce AugMix , a data processing method . . .
  

   

  

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