Several technologies provide datasets consisting of a large number of spatial points, commonly referred to as point-clouds. These point datasets provide spatial information regarding the phenomenon that is to be investigated, adding value through knowledge of forms and spatial relationships. Accurate methods for automatic outlier detection is a key step. In this note we use a completely open-source workflow to assess two outlier detection methods, statistical outlier removal (SOR) filter and local outlier factor (LOF) filter. The latter was implemented ex-novo for this work using the Point Cloud Library (PCL) environment. Source code is available in a GitHub repository for inclusion in PCL builds.

Francesco Pirotti, Roberta Ravanelli, Francesca Fissore, Andrea Masiero (2018). Implementation and assessment of two density-based outlier detection methods over large spatial point clouds. OPEN GEOSPATIAL DATA, SOFTWARE AND STANDARDS, 3, 1-12 [10.1186/s40965-018-0056-5].

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

Roberta Ravanelli;
2018

Abstract

Several technologies provide datasets consisting of a large number of spatial points, commonly referred to as point-clouds. These point datasets provide spatial information regarding the phenomenon that is to be investigated, adding value through knowledge of forms and spatial relationships. Accurate methods for automatic outlier detection is a key step. In this note we use a completely open-source workflow to assess two outlier detection methods, statistical outlier removal (SOR) filter and local outlier factor (LOF) filter. The latter was implemented ex-novo for this work using the Point Cloud Library (PCL) environment. Source code is available in a GitHub repository for inclusion in PCL builds.
2018
Francesco Pirotti, Roberta Ravanelli, Francesca Fissore, Andrea Masiero (2018). Implementation and assessment of two density-based outlier detection methods over large spatial point clouds. OPEN GEOSPATIAL DATA, SOFTWARE AND STANDARDS, 3, 1-12 [10.1186/s40965-018-0056-5].
Francesco Pirotti; Roberta Ravanelli; Francesca Fissore; Andrea Masiero
File in questo prodotto:
File Dimensione Formato  
Pirotti_Implementation-and-assessment_2018.pdf

accesso aperto

Tipo: Versione (PDF) editoriale
Licenza: Licenza per Accesso Aperto. Creative Commons Attribuzione (CCBY)
Dimensione 4.1 MB
Formato Adobe PDF
4.1 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/744531
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact