Unsupervised adversarial domain adaptation for agricultural land extraction of remote sensing images

HIGHLIGHTS

• who: Junbo Zhang and colleagues from the College of Information Engineering, Sichuan Agricultural University, Ya`an, China have published the article: Unsupervised Adversarial Domain Adaptation for Agricultural Land Extraction of Remote Sensing Images, in the Journal: (JOURNAL)
• what: Through adversarial training, the authors aim to learn the domain invariant feature between the source and target domains.
• how: The authors designed a multi-scale feature fusion module (MSFF) to adapt to different spatial resolution agricultural land datasets and learn more robust domain invariant features the approach achieved better results in unsupervised agricultural land segmentation . . .
  

   

  

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