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 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 …
Deep learning based computer vision under the prism of 3D point clouds: a systematic review
Point clouds consist of 3D data points and are among the most considerable data formats for
3D representations. Their popularity is due to their broad application areas, such as robotics …
3D representations. Their popularity is due to their broad application areas, such as robotics …
[PDF][PDF] Automatic filtering of LiDAR building point cloud using multilayer perceptron Neuron Network
W Amakhchan, F Tarsha Kurdi… - Proceedings of the …, 2022 - researchgate.net
In urban areas, a Light Detection And Ranging (LiDAR) point cloud contain four principal
classes: terrain, buildings, vegetation, and remained points. Each class has its own …
classes: terrain, buildings, vegetation, and remained points. Each class has its own …
[PDF][PDF] High Resolution Building Indicator Mapping Using Airborne LiDAR Data
Urban indicators characterize a specific urban space through calculated values, such as
building coverage, building height, floor area ratio, and many others. Urban indicators …
building coverage, building height, floor area ratio, and many others. Urban indicators …
3D LoD2 and LoD3 Modelling of Rotating Surface Building of Ornamental Towers starting from 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 …
[PDF][PDF] Classification of Forest LiDAR Data Using Deep Learning Pipeline Algorithm and Geometric Feature Analysis
W Amakhchan, FT Kurdi, Z Gharineiat, H Boulaassal… - researchgate.net
This paper adapts the deep learning pipeline algorithm based on the Multi-Layer Perceptron
(MLP) Neural Network to automatically classify the forest Light Detection And Ranging …
(MLP) Neural Network to automatically classify the forest Light Detection And Ranging …