Multi-source point cloud semantic segmentation using neural network

HIGHLIGHTS

• who: Ju00e9ru00e9my Montlahuc and colleagues from the XXIV ISPRS Congress (, edition), June, Nice, France have published the research: MULTI-SOURCE POINT CLOUD SEMANTIC SEGMENTATION USING NEURAL NETWORK, in the Journal: (JOURNAL)
• what: The aim of this study is to enhance point cloud semantic segmentation by using point clouds from multiple distinct technologies on the same capture location and to determine whether employing various technologies throughout the acquisition process yields better performance during classification.
• how: The study uses a NN because it was decided to use calculated features which are attributes that describe a . . .
  

   

  

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