• français
    • English
    français
  • Login
Help
View Item 
  •   Home
  • Laboratoire d’Ingénierie des Systèmes Physiques Et Numériques (LISPEN)
  • View Item
  • Home
  • Laboratoire d’Ingénierie des Systèmes Physiques Et Numériques (LISPEN)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

MULTI-SOURCE POINT CLOUD SEMANTIC SEGMENTATION USING NEURAL NETWORK

Article dans une revue avec comité de lecture
Author
MONTLAHUC, J.
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]
POLETTE, A.
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]
TAHAN, A.
96119 Cairo University
136804 Ecole de Technologie Supérieure [Montréal] [ETS]
PERNOT, J.-P.
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]
RIVEST, L.
136804 Ecole de Technologie Supérieure [Montréal] [ETS]

URI
http://hdl.handle.net/10985/23481
DOI
10.5194/isprs-archives-xliii-b3-2022-515-2022
Date
2022-05-30
Journal
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Abstract

Abstract. The purpose 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. The different point clouds were captured in the same geographical location and have previously been aligned and classified by professionals of the field. Three locations have been scanned with airborne lidar, terrestrial lidar and photogrammetry using UAV or helicopter. The use of various sources of capture on the same location opens the door to creating new features, such as the proportion of each source involved in the semantic segmentation of point clouds. This plurality of sources also enables us to spread various features, such as RGB colors, that have been propagated to other sources via the neighborhood. The initial results lean towards capture using different technologies as the overall accuracy increase by two to four points and the mean Matthews correlation coefficient increase by four to seven points. The main drawbacks are the cost of some technologies, as well as the processing time, which is greater than with a single technology.

Files in this item

Name:
LISPEN_ISPRS_Archives_2022_PER ...
Size:
1.892Mb
Format:
PDF
View/Open

Collections

  • Laboratoire d’Ingénierie des Systèmes Physiques Et Numériques (LISPEN)

Related items

Showing items related by title, author, creator and subject.

  • Towards a Novel Comparison Framework of Digital Maturity Assessment Models 
    Ouvrage scientifique
    COGNET, B.; PERNOT, J.-P.; RIVEST, L.; DANJOU, C.; WUEST, T.; KÄRKKÄINEN, H.; LAFLEUR, M. (Springer International Publishing, 2020-02-28)
    The fourth industrial revolution is forcing companies to rethink their status quo – creating a need to assess their digital maturity as a basis for improvements. As a result, there is a variety of maturity models available ...
  • Digital maturity models: comparing manual and semi-automatic similarity assessment frameworks 
    Article dans une revue avec comité de lecture
    COGNET, Bruno; PERNOT, Jean Philippe; RIVEST, Louis; DANJOU, Christophe (Inderscience Publishers, 2021-11-29)
    The fourth industrial revolution is forcing companies to define their digital strategy, making it imperative that they assess their digital maturity as a basis for improvements. As a result, a variety of maturity models ...
  • Capturing and analysing how designers use CAD software 
    Communication avec acte
    SADEGHI, Samira; DARGON, Thomas; RIVEST, Louis; PERNOT, Jean-Philippe (2016)
    Current Computer-Aided Design (CAD) packages support the storage of the final design models and solutions in different formats, and PLM software manages the high-level information about the design process, such as the ...
  • Survey on the View Planning Problem for Reverse Engineering and Automated Control Applications 
    Article dans une revue avec comité de lecture
    PEUZIN-JUBERT, Manon; POLETTE, Arnaud; NOZAIS, Dominique; MARI, Jean-Luc; PERNOT, Jean-Philippe (Elsevier BV, 2021-12)
    At present, optical sensors are being widely used to realize high quality control or reverse engineering of products, systems, buildings, environments or human bodies. Although the intrinsic characteristics of such ...
  • Automatic CAD Assemblies Generation by Linkage Graph Overlay for Machine Learning Applications 
    Article dans une revue avec comité de lecture
    VERGEZ, Lucas; POLETTE, Arnaud; PERNOT, Jean-Philippe (CAD Solutions, LLC, 2021-11-29)
    This paper introduces an approach to synthetize new CAD assemblies from existing STEP files. The algorithm first generates linkage graph by detecting linkage between components. Then it detects linkages similarities ...

Browse

All SAMCommunities & CollectionsAuthorsIssue DateCenter / InstitutionThis CollectionAuthorsIssue DateCenter / Institution

Newsletter

Latest newsletterPrevious newsletters

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales