Multicascaded feature fusion-based deep learning network for local climate zone classification based on the so2sat lcz42 benchmark dataset

HIGHLIGHTS

• who: Manuscript received and colleagues from the Faculty Geographical Science, Normal University, and, Normal University, China have published the article: Multicascaded Feature Fusion-Based Deep Learning Network for Local Climate Zone Classification Based on the So2Sat LCZ42 Benchmark Dataset, in the Journal: (JOURNAL) of August/10,/2021
• what: To address these issues the authors propose a novel CNN model in which the authors design a strategy that incorporates a triple feature fusion pattern to enhance LCZ recognition based on the So2sat LCZ 42 large-scale annotated dataset. The experiments show that the proposed model is . . .
  

   

  

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