3D point cloud data processing with machine learning for construction and infrastructure applications: A comprehensive review
Point clouds are increasingly being used to improve productivity, quality, and safety
throughout the life cycle of construction and infrastructure projects. While applicable for …
throughout the life cycle of construction and infrastructure projects. While applicable for …
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 …
clouds (greater than100 pts/m2) are arguably stymied by their sheer size, which precludes …
A probabilistic graphical model for the classification of mobile LiDAR point clouds
Z Kang, J Yang - ISPRS journal of photogrammetry and remote sensing, 2018 - Elsevier
Abstract Mobile Light Detection And Ranging (LiDAR) point clouds have the characteristics
of complex and incomplete scenes, uneven point density and noises, which raises great …
of complex and incomplete scenes, uneven point density and noises, which raises great …
CSPC-dataset: New LiDAR point cloud dataset and benchmark for large-scale scene semantic segmentation
G Tong, Y Li, D Chen, Q Sun, W Cao, G Xiang - IEEE access, 2020 - ieeexplore.ieee.org
Large-scale point clouds scanned by light detection and ranging (lidar) sensors provide
detailed geometric characteristics of scenes due to the provision of 3D structural data. The …
detailed geometric characteristics of scenes due to the provision of 3D structural data. The …
A dense Pointnet++ architecture for 3D point cloud semantic segmentation
3D point cloud data has been widely used in remote sensing mapping because it is not
affected by lighting, shadows and other factors. How to improve the performance of semantic …
affected by lighting, shadows and other factors. How to improve the performance of semantic …
An over-segmentation-based uphill clustering method for individual trees extraction in urban street areas from MLS data
J Li, X Cheng, Z Wu, W Guo - IEEE Journal of Selected Topics …, 2021 - ieeexplore.ieee.org
In this article, an over-segmentation-based uphill clustering method for individual extraction
of urban street trees from mobile laser scanning data is proposed to solve the problem that …
of urban street trees from mobile laser scanning data is proposed to solve the problem that …
Detection of HOG Features on Tuberculosis X-Ray Results Using SVM and KNN
Image processing is one of the sciences in image processing which can involve several
other techniques such as data mining techniques, in this case the detection of an image …
other techniques such as data mining techniques, in this case the detection of an image …
Range image-based density-based spatial clustering of application with noise clustering method of three-dimensional point clouds
M Wen, S Cho, J Chae, Y Sung… - International Journal of …, 2018 - journals.sagepub.com
Clustering plays an important role in processing light detection and ranging points in the
autonomous perception tasks of robots. Clustering usually occurs near the start of …
autonomous perception tasks of robots. Clustering usually occurs near the start of …
Shape classification guided method for automated extraction of urban trees from terrestrial laser scanning point clouds
X Ning, G Tian, Y Wang - Multimedia Tools and Applications, 2021 - Springer
Accurate detection and extraction of individual trees is one of hottest topics, which can be
widely used in vehicles navigation, tree modeling, tree growth monitoring and urban green …
widely used in vehicles navigation, tree modeling, tree growth monitoring and urban green …
Top-Down Approach to the Automatic Extraction of Individual Trees from Scanned Scene Point Cloud Data.
N Xiaojuan, T Ge, W Yinghui - Advances in Electrical & …, 2019 - search.ebscohost.com
Urban trees are essential elements in outdoor scenes recorded via terrestrial laser
scanning. Although considerable interest has been centered on tree detection and …
scanning. Although considerable interest has been centered on tree detection and …