HIERARCHICAL ALGORITHM IN DTM GENERATION AND AUTOMATIC EXTRACTION OF ROAD FROM LIDAR DATA
Growing demand for an efficient land use above and below the ground is motivating cadastre and land management systems to move from traditional 2D systems toward three dimensional ones. Airborne laser technology offers direct acquisition of dense and accurate 3D data. In order to get 3D road this...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2012-07-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B3/133/2012/isprsarchives-XXXIX-B3-133-2012.pdf |
| Summary: | Growing demand for an efficient land use above and below the ground is motivating cadastre and land management systems to
move from traditional 2D systems toward three dimensional ones. Airborne laser technology offers direct acquisition of dense
and accurate 3D data. In order to get 3D road this paper proposes a hierarchical algorithm to extract terrain point from LIDAR
data. We stratify the raw LiDAR data according to the height, judge terrain points and non-terrain points by the connectivity. In
the case of road network, it indicates the morphological characteristics of network structure with a certain length continuous strip
and small difference in intensity. All these information, including elevation information, the intensity information, the
morphological characteristics and other local features, are used for extracting the road network from DTM. Local morphological
filtering method is implementing for finding clear boundaries and rich details of the road profile. Following the presentation of
the algorithm results for this approach are shown and evaluated |
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| ISSN: | 1682-1750 2194-9034 |