Implementation and assessment of two density-based outlier detection methods over large spatial point clouds

HIGHLIGHTS

  • who: Francesco Pirotti from the CIRGEO, Interdepartmental Research Center of Geomatics, University of Padua, Viale dell`Universitu00e0, Legnaro, Italy have published the paper: Implementation and assessment of two density-based outlier detection methods over large spatial point clouds, in the Journal: (JOURNAL)
  • what: To underline this key step, in this work the FCD of the city of Turin (Italy) Public Transportation system were analysed. There are many outlier detection methods in literature, in this study case the authors focus on unsupervised methods based on local density metrics of points. In this work the LOF method . . .

     

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