Parameter-Free Half-Spaces Based 3D Building Reconstruction Using Ground and Segmented Building Points from Airborne LiDAR Data with 2D Outlines
| Autor: | Niko Lukač, Marko Bizjak, Borut Žalik |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
building model
reconstruction Basis (linear algebra) Mean squared error Scale (ratio) Computer science LiDAR data Science Building model computer.software_genre Base (topology) urban scale Benchmark (surveying) half-space General Earth and Planetary Sciences Data mining Stage (hydrology) Completeness (statistics) computer |
| Zdroj: | Remote Sensing; Volume 13; Issue 21; Pages: 4430 Remote Sensing, Vol 13, Iss 4430, p 4430 (2021) |
| ISSN: | 2072-4292 |
| Popis: | This paper aims to automatically reconstruct 3D building models on a large scale using a new approach on the basis of half-spaces, while making no assumptions about the building layout and keeping the number of input parameters to a minimum. The proposed algorithm is performed in two stages. First, the airborne LiDAR data and buildings’ outlines are preprocessed to generate buildings’ base models and the corresponding half-spaces. In the second stage, the half-spaces are analysed and used for shaping the final 3D building model using 3D Boolean operations. In experiments, the proposed algorithm was applied on a large scale, and its’ performance was inspected on a city level and on a single building level. Accurate reconstruction of buildings with various layouts were demonstrated and limitations were identified for large-scale applications. Finally, the proposed algorithm was validated on an ISPRS benchmark dataset, where a RMSE of 1.31 m and completeness of 98.9% were obtained. |
| Databáze: | OpenAIRE |
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