Data Fusion of Laser Scanned Data and Aerial Ortho-Imagery for Digital Surface Modeling
نویسنده
چکیده
Various methods have been developed to measure three-dimensional (3D) objects and obtain a highaccuracy Digital Surface Model (DSM). High-quality elevation data is essential to support urban planning and civil engineering, however, effective measuring of height information is still challenging. The aim of this paper is to present an accuracy assessment of laser scanned data and the enhancement of the 3D representation of artificial objects such as buildings. Firstly, edges of buildings were extracted from Light Detection and Ranging (LiDAR) data. Secondly, aerial ortho-imagery is draped over this simplified 3D model. Thirdly, digital photos of each side of walls were patched in order to obtain photo-realistic rendering of buildings. The comparison between the height information of the resultant DSM and that of GPS measurements shows that the root mean squared error of the DSM is less than 12 centimeters.
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