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Parameter-Free Half-Spaces Based 3D Building Reconstruction Using Ground and Segmented Building Points from Airborne LiDAR Data with 2D Outlines
| Content Provider | MDPI |
|---|---|
| Author | Borut, Žalik Niko, Lukač Bizjak, Marko |
| Copyright Year | 2021 |
| Description | 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. |
| Starting Page | 4430 |
| e-ISSN | 20724292 |
| DOI | 10.3390/rs13214430 |
| Journal | Remote Sensing |
| Issue Number | 21 |
| Volume Number | 13 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-11-03 |
| Access Restriction | Open |
| Subject Keyword | Remote Sensing Building Model Reconstruction Half-space Lidar Data Urban Scale |
| Content Type | Text |
| Resource Type | Article |
