Hfenet: hierarchical feature extraction network for accurate landcover classification

HIGHLIGHTS

• who: Di Wang and collaborators from the Department of Surveying and Mapping Engineering, College of Earth Sciences, Chengdu University of Technology, Chengdu, China have published the research work: HFENet: Hierarchical Feature Extraction Network for Accurate Landcover Classification, in the Journal: (JOURNAL) of 27/07/2022
• what: The authors propose a novel image segmentation network named for mining multi-level semantic information. 3 of 24 To solve the above-mentioned problems, based on UperNet , this paper proposes a semantic segmentation network, named HFENet, for mining multi-level semantic information, to solve the problems that similar features . . .
  

   

  

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