Semantic classification of 3D point clouds with multiscale spherical neighborhoods
This paper introduces a new definition of multiscale neighborhoods in 3D point clouds. This
definition, based on spherical neighborhoods and proportional subsampling, allows the …
definition, based on spherical neighborhoods and proportional subsampling, allows the …
A structured regularization framework for spatially smoothing semantic labelings of 3D point clouds
In this paper, we introduce a mathematical framework for obtaining spatially smooth
semantic labelings of 3D point clouds from a pointwise classification. We argue that …
semantic labelings of 3D point clouds from a pointwise classification. We argue that …
Classification of large-scale mobile laser scanning data in urban area with LightGBM
Automatic point cloud classification (PCC) is a challenging task in large-scale urban point
clouds due to the heterogeneous density of points, the high number of points and the …
clouds due to the heterogeneous density of points, the high number of points and the …
A classification-segmentation framework for the detection of individual trees in dense MMS point cloud data acquired in urban areas
In this paper, we present a novel framework for detecting individual trees in densely
sampled 3D point cloud data acquired in urban areas. Given a 3D point cloud, the objective …
sampled 3D point cloud data acquired in urban areas. Given a 3D point cloud, the objective …
Supervised classification of power lines from airborne LiDAR data in urban areas
Automatic extraction of power lines using airborne LiDAR (Light Detection and Ranging)
data has been one of the most important topics for electric power management. However …
data has been one of the most important topics for electric power management. However …
A machine learning approach for the detection of supporting rock bolts from laser scan data in an underground mine
Rock bolts are a crucial part of underground infrastructure support; however, current
methods to locate and record their positions are manual, time consuming and generally …
methods to locate and record their positions are manual, time consuming and generally …
Modelling of buildings from aerial LiDAR point clouds using TINs and label maps
This paper presents a new framework for automatically creating compact building models
from aerial LiDAR point clouds, where each point is known to belong to the class building …
from aerial LiDAR point clouds, where each point is known to belong to the class building …
Hierarchical SVM for Semantic Segmentation of 3D Point Clouds for Infrastructure Scenes
M Mansour, J Martens, J Blankenbach - Infrastructures, 2024 - mdpi.com
The incorporation of building information modeling (BIM) has brought about significant
advancements in civil engineering, enhancing efficiency and sustainability across project life …
advancements in civil engineering, enhancing efficiency and sustainability across project life …
Evaluation of LiDAR-derived features relevance and training data minimization for 3D point cloud classification
Terrestrial laser scanning (TLS) is a leading technology in data acquisition for building
information modeling (BIM) applications due to its rapid, direct, and accurate scanning of …
information modeling (BIM) applications due to its rapid, direct, and accurate scanning of …
Automatic pylon extraction using color-aided classification from UAV LiDAR point cloud data
J Huang, Y Shen, J Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Extracting pylons from point clouds gathered by unmanned aerial vehicle LiDAR systems
(UAVLS) is challenging, particularly in complex environments. The difficulty arises due to the …
(UAVLS) is challenging, particularly in complex environments. The difficulty arises due to the …