Saunet3+cd: a siamese-attentive unet3+ for change detection in remote sensing images

HIGHLIGHTS

  • who: JUNSANG MO and colleagues from the Research Institute for Human Settlements, Sejong, Department of Civil Engineering, Chungbuk National University, Cheongju , have published the research work: SAUNet3+CD: A Siamese-Attentive UNet3+ for Change Detection in Remote Sensing Images, in the Journal: (JOURNAL)
  • what: In this manuscript the authors propose a Siamese-attentive UNet3+ for change detection (SAUNet3+CD) of multitemporal imagery with high spatial resolution. The authors evaluate a deep learning model that can effectively detect the creation/destruction of buildings through the augmentation of open datasets and hybrid loss functions. In this study . . .

     

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