Harnu-net: hierarchical attention residual nested u-net for change detection in remote sensing images

HIGHLIGHTS

• who: Haojin Li and collaborators from the College of Information Science and Engineering, Xinjiang University, Urumqi, China have published the research: HARNU-Net: Hierarchical Attention Residual Nested U-Net for Change Detection in Remote Sensing Images, in the Journal: Sensors 2022, 22, 4626. of 19/06/2022
• what: To address the above problem, the authors propose a model and named it Hierarchical Attention Residual Nested U-Net (HARNU-Net) according to its characteristics. Most of the design of CD models focus on the feature extraction phase, while the important feature fusion phase is often ignored . . .
  

   

  

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