Building roof reconstruction from airborne LiDAR data based on layer connection and smoothness strategy

doi:10.13474/j.cnki.11-2246.2020.0190

Abstract

Abstract: For providing 3D building models to construct digital and smart cities, an approach, which uses smoothness strategy and layer connection based on airborne LiDAR data proposed for automatically reconstructing 3D building roof models with precise position and details. It consists of four steps: building roof point extraction, building rooftop patch segmentation, connection between roof layers and 3D building roof model reconstruction. Building roof points are firstly extracted from airborne LiDAR data using the reversed iterative mathematic morphological algorithm and the density-based method. In the process of rooftop patch extraction, the smoothness of the rooftop patch is taken into consideration. The concept of layer-connection-point is proposed to complete building model reconstruction effectively and fast after obtaining the smooth rooftop patches. Experiments are analyzed from several aspects: the completeness and correctness, deviation analysis of the reconstructed building roofs, and the influence of elevation to 3D model roof reconstruction supported by the ISPRS standard data set, compared with the international similar experiment. According to the experimental results, the completeness and correctness of the roof reconstruction results are 90% and 95%, respectively. The average deviation distance and standard deviation are 0.05 and 0.18 m, respectively. The experimental results demonstrate promising correctness, completeness, and deviation accuracy, with a satisfactory 3D building roof models.

Key words: airborne LiDAR, 3D roof model reconstruction, rooftop patch segmentation, rooftop patch smoothing, building roof

CLC Number:

P237

XU Hao, CHENG Liang, WU Yang. Building roof reconstruction from airborne LiDAR data based on layer connection and smoothness strategy[J]. Bulletin of Surveying and Mapping, 2020, 0(6): 104-110.

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