Rule-based segmentation of LIDAR point cloud for automatic extraction of building roof planes
نویسندگان
چکیده
منابع مشابه
Rule-based Segmentation of Lidar Point Cloud for Automatic Extraction of Building Roof Planes
This paper presents a new segmentation technique for LIDAR point cloud data for automatic extraction of building roof planes. Using the ground height from a DEM (Digital Elevation Model), the raw LIDAR points are separated into two groups: ground and nonground points. The ground points are used to generate a ‘building mask’ in which the black areas represent the ground where there are no laser ...
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The objective of segmentation on point clouds is to spatially group points with similar properties into homogeneous regions. Segmentation is a fundamental issue in processing point clouds data acquired by LiDAR and the quality of segmentation largely determines the success of information retrieval. Unlike the image or TIN model, the point clouds do not explicitly represent topology information....
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This paper proposes a method for the automatic extraction of building roof contours from a LiDAR-derived digital surface model (DSM). The method is based on two steps. First, to detect aboveground objects (buildings, trees, etc.), the DSM is segmented through a recursive splitting technique followed by a region merging process. Vectorization and polygonization are used to obtain polyline repres...
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This study aims to extract automatically building roof planes from airborne LIDAR data applying an extended 3D Randomized Hough Transform (RHT). The proposed methodology consists of three main steps, namely detection of building points, plane detection and refinement. For the detection of the building points, the vegetative areas are first segmented from the scene content and the bare earth is ...
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This paper proposes an automatic system which detects buildings in urban and rural areas by the use of first pulse return and last pulse return LIDAR data. Initially both first and last pulse return points are interpolated to raster images. This results to two Digital Surface Models (i.e. DSM) and a differential DSM (i.e. DDSM) is computed by them. Then using a height criterion, rough and smoot...
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ژورنال
عنوان ژورنال: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2013
ISSN: 2194-9050
DOI: 10.5194/isprsannals-ii-3-w3-1-2013