Blind super-resolution for sar images with speckle noise based on deep learning probabilistic degradation model and sar priors

HIGHLIGHTS

• who: Chongqi Zhang and collaborators from the School of Electronics, Peking University, Beijing, China have published the research: Blind Super-Resolution for SAR Images with Speckle Noise Based on Deep Learning Probabilistic Degradation Model and SAR Priors, in the Journal: (JOURNAL)
• what: The authors provide the details of the proposed method. The former is trained to gain samples that are similar to the targeti.e., domain; ) ) u2192 ud835udc46ud835udc45 ud835udc37ud835udc52ud835udc54(ud835udc3c ud835udc3c ud835udc37ud835udc52ud835udc54(ud835udc3c, therefore, the authors design a target function in_(3) meanwhile, the latter is trained to determine the authenticity of the generated samples . . .
  

   

  

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