A review of deep-learning methods for change detection in multispectral remote sensing images

HIGHLIGHTS

• who: Eleonora Jonasova Parelius from the Aerial (Google Earth) Aerial, Hong Kong Aerial, China have published the Article: A Review of Deep-Learning Methods for Change Detection in Multispectral Remote Sensing Images, in the Journal: (JOURNAL) of 16/04/2023
• what: This work reports on three variations of a UNet-inspired fully convolutional neural_network. The authors of the paper have, in this case, created a second image by adding noise to the first one. The method by Leenstra et_al uses self-supervised pretraining to improve change detection in Sentinel-2 images, namely, the model is . . .
  

   

  

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