[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 …
Quality Analysis of 3D Point Cloud Using Low-Cost Spherical Camera for Underpass Mapping
Three-dimensional point cloud evaluation is used in photogrammetry to validate and assess
the accuracy of data acquisition in order to generate various three-dimensional products …
the accuracy of data acquisition in order to generate various three-dimensional products …
Comparative Analysis of Machine Learning Techniques for Extracting Structural Elements from 3D Point Clouds
The utilization of three-dimensional point clouds is an advanced approach for detecting the
geometry of objects within a building environment. Nonetheless, a vast amount of data still …
geometry of objects within a building environment. Nonetheless, a vast amount of data still …
[PDF][PDF] Extracting Structural Elements From 3D Point Clouds in Indoor Environments via Machine Learning Techniques
The utilization of three-dimensional point clouds is an advanced approach for detecting the
geometry of objects within a building environment. Nonetheless, a vast amount of data still …
geometry of objects within a building environment. Nonetheless, a vast amount of data still …
3D digital modelling and identification of pavement typical internal defects based on GPR measured data
H Zhu, G Wei, D Ma, X Yu, Z Xu… - Road Materials and …, 2024 - Taylor & Francis
A three-dimensional ground-penetrating radar (GPR) captures non-destructively internal
pavement distress characteristics. However, interpreting radar images and data analysis …
pavement distress characteristics. However, interpreting radar images and data analysis …
Optimization of Land Area Mapping and Volume Calculations using Drone Lidar Livox Mid-40 Data with the Downsampling Method
AS Manggala, E Ahyudanari, MN Cahyadi… - BIO Web of …, 2024 - bio-conferences.org
One reason for the growing acceptance of 3D point cloud-based research and applications
is the quick advancement of 3D scanning technologies. However, there are still a number of …
is the quick advancement of 3D scanning technologies. However, there are still a number of …
[PDF][PDF] All issues Series Forthcoming About Search Menu
This study aims to determine the potential of Black Soldier Fly (BSF) flour as feed in
improving the growth and digestive tract of the Jawa Super Starter Phase. The study used 96 …
improving the growth and digestive tract of the Jawa Super Starter Phase. The study used 96 …
Weakly supervised MS-LiDAR point cloud classification based on kernel convolutional semantic query network
X Zheng, G Xu, Z Shu, Y Ji, X Chen… - … Conference on High …, 2024 - spiedigitallibrary.org
Due to the large amount of airborne multispectral light detection and ranging (MS LiDAR)
point cloud data, it is required to annotate it to complete supervised learning. However, the …
point cloud data, it is required to annotate it to complete supervised learning. However, the …