Robust locally weighted regression for ground surface extraction in mobile laser scanning 3D data

Robust locally weighted regression for ground surface extraction in mobile laser scanning 3D data

A new robust way for ground surface extraction from mobile laser scanning 3D point cloud data is proposed in this paper. Fitting polynomials along 2D/3D points is one of the well-known methods for filtering ground points, but it is evident that unorganized point clouds consist of multiple complex st...

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Bibliographic Details
Main Authors: Nurunnabi, Abdul, West, Geoff, Belton, David
Other Authors: M. Scaioni
Format: Conference Paper
Published: ISPRS 2013
Subjects:
Terrain Classification
DTM
Point Cloud
Filtering
3D Modelling
Segmentation
Feature Extraction
Outlier
Online Access:http://hdl.handle.net/20.500.11937/26232

Internet

http://hdl.handle.net/20.500.11937/26232

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