Height Inference for all USA Building Footprints in the Absence of Height Data

In recent years, the demand for 3D spatial information and 3D city models has increased, as they support and allow many different applications, e.g. noise simulations, energy demand estimations, and shadow analysis. Constructing a city model with 3D buildings requires elevation data (such as LiDAR or Digital Terrain Models), but unfortunately,...

Automatic construction of 3D tree models in multiple levels of detail from airborne LiDAR data

Automatically generated 3D city models are becoming less of a futuristic, demanding or even impossible to attain goal, and more of a necessary, or vastly sought after, means for a multitude of applications. The current prevalence of open geographic information, such as nationwide-covering LiDAR datasets in the Netherlands, opens up opportunities...

A voxel-based methodology to detect (clustered) outliers in aerial lidar point clouds

To obtain 3D information of the Earth’s surface, airborne LiDAR technology<br/>is used to quickly capture high-precision measurements of the terrain.<br/>Unfortunately, laser scanning techniques are prone to producing outliers<br/>and noise (i.e. wrong measurements). Therefore, a pre-process of the point<br/>cloud is required to detect and...

Large-scale efficient extraction of 3D roof segments from aerial stereo imagery

3D reconstruction of the built environment is a widely studied Geomatics topic. Resulting city models are used for a great variety of purposes. The reconstruction of roofs remains challenging. These roofs are not only building blocks for the city models but are of direct interest as well. The company READAAR uses roof segments for the detection...