A review of mobile map** systems: From sensors to applications
The evolution of mobile map** systems (MMSs) has gained more attention in the past few
decades. MMSs have been widely used to provide valuable assets in different applications …
decades. MMSs have been widely used to provide valuable assets in different applications …
Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers
Abstract 3D scene analysis in terms of automatically assigning 3D points a respective
semantic label has become a topic of great importance in photogrammetry, remote sensing …
semantic label has become a topic of great importance in photogrammetry, remote sensing …
Fast semantic segmentation of 3D point clouds with strongly varying density
We describe an effective and efficient method for point-wise semantic classification of 3D
point clouds. The method can handle unstructured and inhomogeneous point clouds such …
point clouds. The method can handle unstructured and inhomogeneous point clouds such …
Random forest machine learning technique for automatic vegetation detection and modelling in LiDAR data
F Tarsha Kurdi, W Amakhchan… - International Journal of …, 2021 - research.usq.edu.au
Machine learning techniques have gained a distinguished position in the automatic
processing of Light Detection and Ranging (LiDAR) data area. They represent the actual …
processing of Light Detection and Ranging (LiDAR) data area. They represent the actual …
Hierarchical extraction of urban objects from mobile laser scanning data
Point clouds collected in urban scenes contain a huge number of points (eg, billions),
numerous objects with significant size variability, complex and incomplete structures, and …
numerous objects with significant size variability, complex and incomplete structures, and …
From Google Maps to a fine-grained catalog of street trees
Up-to-date catalogs of the urban tree population are of importance for municipalities to
monitor and improve quality of life in cities. Despite much research on automation of tree …
monitor and improve quality of life in cities. Despite much research on automation of tree …
Feature relevance assessment for the semantic interpretation of 3D point cloud data
The automatic analysis of large 3D point clouds represents a crucial task in photogrammetry,
remote sensing and computer vision. In this paper, we propose a new methodology for the …
remote sensing and computer vision. In this paper, we propose a new methodology for the …
A shape-based segmentation method for mobile laser scanning point clouds
Segmentation of mobile laser point clouds of urban scenes into objects is an important step
for post-processing (eg, interpretation) of point clouds. Point clouds of urban scenes contain …
for post-processing (eg, interpretation) of point clouds. Point clouds of urban scenes contain …
Distinctive 2D and 3D features for automated large-scale scene analysis in urban areas
We propose a new methodology for large-scale urban 3D scene analysis in terms of
automatically assigning 3D points the respective semantic labels. The methodology focuses …
automatically assigning 3D points the respective semantic labels. The methodology focuses …
Object classification and recognition from mobile laser scanning point clouds in a road environment
Automatic methods are needed to efficiently process the large point clouds collected using a
mobile laser scanning (MLS) system for surveying applications. Machine-learning-based …
mobile laser scanning (MLS) system for surveying applications. Machine-learning-based …