Review of automatic processing of topography and surface feature identification LiDAR data using machine learning techniques
Machine Learning (ML) applications on Light Detection And Ranging (LiDAR) data have
provided promising results and thus this topic has been widely addressed in the literature …
provided promising results and thus this topic has been widely addressed in the literature …
[HTML][HTML] Contribution of geometric feature analysis for deep learning classification algorithms of urban LiDAR data
F Tarsha Kurdi, W Amakhchan, Z Gharineiat… - Sensors, 2023 - mdpi.com
The use of a Machine Learning (ML) classification algorithm to classify airborne urban Light
Detection And Ranging (LiDAR) point clouds into main classes such as buildings, terrain …
Detection And Ranging (LiDAR) point clouds into main classes such as buildings, terrain …
Machine learning-based segmentation of aerial LiDAR point cloud data on building roof
ABSTRACT Three-dimensional (3D) reconstruction of a building can be facilitated by
correctly segmenting different feature points (eg in the form of boundary, fold edge, and …
correctly segmenting different feature points (eg in the form of boundary, fold edge, and …
Automatic filtering of LiDAR building point cloud in case of trees associated to building roof
This paper suggests a new algorithm for automatic building point cloud filtering based on the
Z coordinate histogram. This operation aims to select the roof class points from the building …
Z coordinate histogram. This operation aims to select the roof class points from the building …
3D LoD2 and LoD3 modeling of buildings with ornamental towers and turrets based on LiDAR data
This paper presents an innovative approach to the automatic modeling of buildings
composed of rotational surfaces, based exclusively on airborne LiDAR point clouds. The …
composed of rotational surfaces, based exclusively on airborne LiDAR point clouds. The …
Modeling multi-rotunda buildings at LoD3 level from LiDAR data
The development of autonomous navigation systems requires digital building models at the
LoD3 level. Buildings with atypically shaped features, such as turrets, domes, and chimneys …
LoD3 level. Buildings with atypically shaped features, such as turrets, domes, and chimneys …
3D instance segmentation and object detection framework based on the fusion of LIDAR remote sensing and optical image sensing
L Bai, Y Li, M Cen, F Hu - Remote Sensing, 2021 - mdpi.com
Since single sensor and high-density point cloud data processing have certain direct
processing limitations in urban traffic scenarios, this paper proposes a 3D instance …
processing limitations in urban traffic scenarios, this paper proposes a 3D instance …
Modeling the Geometry of Tree Trunks Using LiDAR Data
The effective development of digital twins of real-world objects requires sophisticated data
collection techniques and algorithms for the automated modeling of individual objects. In …
collection techniques and algorithms for the automated modeling of individual objects. In …
Using LiDAR system as a data source for agricultural land boundaries
N Borowiec, U Marmol - Remote Sensing, 2022 - mdpi.com
In this study, LiDAR sensor data were used to identify agricultural land boundaries. This is a
remote sensing method using a pulsating laser directed toward the ground. This study …
remote sensing method using a pulsating laser directed toward the ground. This study …
Restoration of individual tree missing point cloud based on local features of point cloud
W Cao, J Wu, Y Shi, D Chen - Remote Sensing, 2022 - mdpi.com
LiDAR (Light Detection And Ranging) technology is an important means to obtain three-
dimensional information of trees and vegetation. However, due to the influence of scanning …
dimensional information of trees and vegetation. However, due to the influence of scanning …