Advanced point cloud processing

The high pulse frequencies of today’s airborne, mobile and terrestrial laser scanners enable the acquisition of point clouds with densities from some 20-50 points/m for airborne scanners to several thousands points/m for mobile and terrestrial scanners. For the (semi-)automated extraction of geo-information from point clouds these high point densities are very beneficial. The large number of points on the surfaces of objects to be extracted describe the surface geometry with a high redundancy. This allows the reliable detection of such surfaces in a point cloud. In this paper various examples are presented on how point cloud segmentations can be used to automatically extract geo-information. The paper focusses on the extraction of man-made objects in the urban environment. The examples include the processing of point clouds acquired by airborne, mobile as well as terrestrial laser scanners. The usage of generic knowledge on the objects to be mapped is shown to play a key role in the automation of the point cloud interpretation.

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