Tesserae3d: a benchmark for tesserae semantic segmentation in 3d point clouds

HIGHLIGHTS

• who: XXIV ISPRS Congress and colleagues from the (UNIVERSITY) have published the research work: TESSERAE3D: A BENCHMARK FOR TESSERAE SEMANTIC SEGMENTATION IN 3D POINT CLOUDS, in the Journal: (JOURNAL)
• what: The authors propose a semantic segmentation baseline building on radiometric and covariance features fed to ensemble learning methods. The authors propose to extend the few existing mosaic segmentation approaches, specifically over 3D point clouds. And for each intersection, the authors provide two normalized values (in percentage), the first one for RF and the second for GB.
• how: This paper introduces Tesserae3D a 3D . . .
  

   

  

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