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 …
3D modeling and visualization of single tree Lidar point cloud using matrixial form
Tree modeling and visualization still represent a challenge in the light detecting and ranging
area. Starting from the segmented tree point clouds, this article presents an innovative tree …
area. Starting from the segmented tree point clouds, this article presents an innovative tree …
[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 …
An unsupervised, open-source workflow for 2d and 3d building mapping from airborne lidar data
An Unsupervised, Open-Source Workflow for 2D and 3D Building Mapping From Airborne
LiDAR Data Page 1 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH …
LiDAR Data Page 1 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH …
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 …
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 …
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 …
[HTML][HTML] Non-destructive measurements for 3D modeling and monitoring of large buildings using terrestrial laser scanning and unmanned aerial systems
Along with the development and improvement of measuring technologies and techniques in
recent times, new methods have appeared to model and monitor the behavior of land and …
recent times, new methods have appeared to model and monitor the behavior of land and …
LiDAR-Based Hatch Localization
This paper considers the problem of determining the time-varying location of a nearly full
hatch during cyclic transloading operations. Hatch location determination is a necessary …
hatch during cyclic transloading operations. Hatch location determination is a necessary …