Classification of mobile laser scanning point clouds of urban scenes exploiting cylindrical neighbourhoods

Classification of mobile laser scanning point clouds of urban scenes exploiting cylindrical neighbourhoods

Zheng, M. (TU Delft OLD Department of GIS Technology; Wuhan University)
Lemmens, M.J.P.M. (TU Delft OLD Department of GIS Technology)
van Oosterom, P.J.M. (TU Delft OLD Department of GIS Technology)

2018

This paper presents our work on automated classification of Mobile Laser Scanning (MLS) point clouds of urban scenes with features derived from cylinders around points of consideration. The core of our method consists of spanning up a cylinder around points and deriving features, such as reflectance, height difference, from the points present within the cylindrical neighbourhood. Crucial in the approach is the selection of features from the points within the cylinder. An overall accuracy could be achieved, exploiting two bench mark data sets (Paris-rue-Madame and IQmulus & TerraMobilita) of 83% and 87% respectively.

3D Mapping
Classification
Cylindrical Approach
Feature extraction
Mobile laser scanning
Point clouds

http://resolver.tudelft.nl/uuid:af50be32-4d71-4550-8383-73fa9e5aea71

https://doi.org/10.5194/isprs-archives-XLII-2-1225-2018

ISPRS

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 42-2

ISPRS TC II Mid-term Symposium, 2018-06-04 → 2018-06-07, Riva del Garda, Italy

Institutional Repository

conference paper

© 2018 M. Zheng, M.J.P.M. Lemmens, P.J.M. van Oosterom