State-level mapping of the road transport network from aerial orthophotography: an end-to-end road extraction solution based on deep learning models trained for recognition, semantic segmentation and post-processing with conditional generative learning

HIGHLIGHTS

• who: Calimanut-Ionut Cira et al. from the Departamento Ingenieru00eda Topogru00e1fica, ETS.I. en Topografu00eda, Universidad Politu00e9cnica Madrid, C/Mercator, Madrid, Spain have published the research work: State-Level Mapping of the Road Transport Network from Aerial Orthophotography: An End-to-End Road Extraction Solution Based on Deep Learning Models Trained for Recognition, Semantic Segmentation and Post-Processing with Conditional Generative Learning, in the Journal: (JOURNAL) of 14/04/2023
• what: In this work an end-to-end processing strategy to extract the road surface areas from aerial orthoimages at the scale of the national . . .
  

   

  

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