A forest fire smoke detection model combining convolutional neural network and vision transformer

HIGHLIGHTS

• who: Ying Zheng from the University of Lisbon, Portugal Chinese Academy of Forestry, China have published the article: A forest fire smoke detection model combining convolutional neural network and vision transformer, in the Journal: (JOURNAL)
• what: Compared to CNN, this model has a better recognition performance with great extensibility, since it learns more comprehensive target features (Han et_al, 2022). The Training Set is used to fit the parameters of the forest fire smoke Frontiers in Forests and Global Change Numbers of pixels detection models, the Validation Set is used to adjust the hyperparameters of the . . .
  

   

  

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