Pcl–ptd net: parallel cross-learning-based pixel transferred deconvolutional network for building extraction in dense building areas with shadow

HIGHLIGHTS

• who: -Building extraction et al. from the Geography, Faculty of Social Sciences, Srinakharinwirot University, Bangkok have published the research: PCLu2013PTD Net: Parallel Cross-Learning-Based Pixel Transferred Deconvolutional Network for Building Extraction in Dense Building Areas With Shadow, in the Journal: (JOURNAL) of 28/04/2022
• what: The authors propose parallel cross-learning-based pixel transferred deconvolutional network (PCL-PTD net) and then is used to segment urban buildings from aerial photographs. The aim of this article focuses on the building extraction in shadows area, unclear building feature, and narrow gaps among buildings. B. Experiment . . .
  

   

  

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