Deep-agrinet: a lightweight attention-based encoder-decoder framework for crop identification using multispectral images

HIGHLIGHTS

• who: Yimin Hu from the Robert Gordon University, United Kingdom have published the article: Deep-agriNet: a lightweight attention-based encoder-decoder framework for crop identification using multispectral images, in the Journal: (JOURNAL)
• what: In this study, the remote sensing images of the T49RFQ area were cropped according to the size of 512 x 512 pixels, and 380 small-size patches were obtained in total. To further analyze the performance of Deep-agriNet, this experiment compared these methods in terms of more evaluation metrics on accuracy, and the specific experimental results are shown in Table . . .
  

   

  

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