Building extraction for 3D city modelling using airborne laser scanning data and high-resolution aerial photo
نویسندگان
چکیده
منابع مشابه
Generation of 3d City Models from Airborne Laser Scanning Data
Airborne laser scanners enable the geometric acquisition of the terrain surface, including objects like trees or buildings which rise from the terrain. Even though for a number of applications a so{called Digital Surface Model (DSM) representing the surface geometry by an object independent distribution of points is su cient, the further quali cation of the original scanner data is necessary fo...
متن کاملAutomatic Building Extraction from Airborne Laser Scanning Data
Laser scanning is a new technology for obtaining Digital Surface Models (DSM) of the earth surface. It is fast method for sampling the earth surface with a high density and high point accuracy. In this paper a procedure for building detection and roof extraction from the DSM is presented. The procedure starts by re-sampling elevation as obtained by laser scanning into regular grid. The core par...
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The aim was to use high resolution Aerial Laser Scanning (ALS) data and aerial images to detect European aspen (Populus tremula L.) from among other deciduous trees. The field data consisted of 14 sample plots of 30 m × 30 m size located in the Koli National Park in the North Karelia, Eastern Finland. A Canopy Height Model (CHM) was interpolated from the ALS data with a pulse density of 3.86/m2...
متن کاملAutomatic 3d Building Reconstruction from Airborne Laser Scanning and Cadastral Data Using Hough Transform
Urban environments of modern cities are described digitally in large public databases and datasets of e.g. laser scanning and ortho photos. These data sets are not necessarily linked to each other, except trough their geometry attributes (coordinates), which are mutually displaced and have a low degree of details. However, it is possible to create virtual 3D models of buildings, by processing t...
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ژورنال
عنوان ژورنال: South African Journal of Geomatics
سال: 2017
ISSN: 2225-8531
DOI: 10.4314/sajg.v6i3.7