Searched for: author%3A%22Lindenbergh%2C+R.C.%22
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document
Sirmacek, B. (author), Lindenbergh, R.C. (author)
Recent technological developments help us to acquire high quality 3D measurements of our urban environment. However, these measurements, which come as point clouds or Digital Surface Models (DSM), do not directly give 3D geometrical models of buildings. In addition to that, they are not suitable for fast 3D rendering. Therefore, detection and 3D...
journal article 2015
document
Sirmacek, B. (author), Lindenbergh, R.C. (author)
Development of laser scanning technologies has promoted tree monitoring studies to a new level, as the laser scanning point clouds enable accurate 3D measurements in a fast and environmental friendly manner. In this paper, we introduce a probability matrix computation based algorithm for automatically classifying laser scanning point clouds into...
conference paper 2015
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Wang, J. (author), Lindenbergh, R.C. (author), Menenti, M. (author)
Laser scanning has become a well established surveying solution for obtaining 3D geo-spatial information on objects and environment. Nowadays scanners acquire up to millions of points per second which makes point cloud huge. Laser scanning is widely applied from airborne, carborne and stable platforms, resulting in point clouds obtained at...
conference paper 2015
document
Lindenbergh, R.C. (author)
Change detection is an important application of laser scanning data. It is also a challenging application as errors that are inevitably present when determining the geometric state of a scene of interest in a certain epoch will somehow add up when comparing the geometric state between epochs. As a consequence it is often difficult to distinguish...
conference paper 2013
document
Sirmacek, B. (author), Lindenbergh, R.C. (author), Menenti, M. (author)
Fusion of 3D airborne laser (LIDAR) data and terrestrial optical imagery can be applied in 3D urban modeling and model up-dating. The most challenging aspect of the fusion procedure is registering the terrestrial optical images on the LIDAR point clouds. In this article, we propose an approach for registering these two different data from...
conference paper 2013
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