Point cloud voxel classification of aerial urban LiDAR using voxel attributes and random forest approach

Point cloud voxel classification of aerial urban LiDAR using voxel attributes and random forest approach

The opportunities now afforded by increasingly available, dense, aerial urban LiDAR point clouds (greater than100 pts/m2) are arguably stymied by their sheer size, which precludes the effective use of many tools designed for point cloud data mining and classification. This paper introduces the point...

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Bibliographic Details
Main Authors: Harith Aljumaily, Debra F. Laefer, Dolores Cuadra, Manuel Velasco
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Object Classification
MapReduce
Big Data
LiDAR
DBSCAN Algorithm
RANSAC Algorithm
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843223000304

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http://www.sciencedirect.com/science/article/pii/S1569843223000304

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