Aerial image dehazing using reinforcement learning

HIGHLIGHTS

• who: Jing Yu et al. from the Institute of Remote Sensing Satellite, China Academy of Space Technology, Beijing, China have published the research work: Aerial Image Dehazing Using Reinforcement Learning, in the Journal: (JOURNAL)
• what: The authors develop a specialized clear-hazy image dataset for aerial images. The authors compare the different dehazing method effects on aerial images. The pixelRL method is different from a typical based on probabilities, and the value network calculated the expected total rewards of the multi-agent RL problem for the following reasons: state. All the models were trained to . . .
  

   

  

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