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The automated reconstruction of Building Information Modeling (BIM) objects from point cloud data is still ongoing research. A key aspect is retrieving the proper observations for each object. After s...
Filtering is a key step for most applications of airborne LiDAR point clouds. Although lots of filtering algorithms have been put forward in recent years, most of them suffer from parameters setting o...
The classification of point clouds is the first step in the extraction of various types of geo-information form point clouds. Recently the ISPRS WG II/4 provides a benchmark on 3D semantic labelling, ...
In the recent past, several heritage structures have faced destruction due to both human-made incidents and natural calamities that have caused a great loss to the human race regarding its cultural ac...
Because the Infra-Red (IR) Kinect sensor only provides accurate depths up to 5 m for a limited field of view (60°), the problem of registration error accumulation becomes inevitable in indoor ma...
UAVs are expected to be particularly valuable to define topography for natural slopes that may be prone to geological hazards, such as landslides or rockfalls. UAV-enabled imagery and aerial mapping c...
The presence of vegetation can significantly affect the solar irradiation received on building surfaces. Due to the complex shape and seasonal variability of vegetation geometry, this topic has gained...
The objective of this paper is to improve the cost-effectiveness (accuracy of estimates versus applied costs) of present ITC (Individual Tree Crown) approaches which are based on 1) aerial imagery or...
Laser scanners and image matching algorithms produce large amounts of 3D data, allowing detailed and accurate descriptions of objects. This is true, though, only if interactive or automated software...
It is well known that characteristics of individual trees, such as tree height, biomass and crown area, can be derived from airborne laser scanning (ALS) and that heights for individual trees can be ...
Position uncertainty is one of the most important quantities of an unorganised three-dimensional point clouds since it provides the confidence level of any parametric estimation such as surface...
This paper presents an approach to process raw lidar 3-D point clouds over urban area and extract terrain, buildings and other urban features. In the initial step, “non-ground points” are separated ...
As an active remote sensing technique, Terrestrial Laser Scanning (TLS) is popular for constructing detailed 3D models of complex objects. To create a complete 3D scene, TLS point clouds scanned fro...
The quality of laser scanning point clouds has become a topical research issue. The quality has been determined by the sum of several error sources caused by various factors affecting accuracy. In t...

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