PSSNet: Planarity-sensible Semantic Segmentation of Large-scale Urban Meshes.

This is the implementation of the paper: PSSNet: Planarity-sensible Semantic Segmentation of Large-scale Urban Meshes. Specifically, it consists of two steps: Step-1: planarity-sensible over-segmentation; Step-2: semantic classification.

Citation

If you use it in a scientific work, we kindly ask you to cite it:

PSSNet: Planarity-sensible Semantic Segmentation of large-scale urban meshes. Weixiao Gao, Liangliang Nan, Bas Boom and Hugo Ledoux. ISPRS Journal of Photogrammetry and Remote Sensing 196 (2023) 32-44.
PDF BibTeX

@article{sum2021,
author = {Weixiao Gao and Liangliang Nan and Bas Boom and Hugo Ledoux},
title = {PSSNet: Planarity-sensible Semantic Segmentation of large-scale urban meshes},
journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
volume = {196},
pages = {32-44},
year={2023},
issn = {0924-2716},
doi = {10.1016/j.isprsjprs.2022.12.020},
url = {https://www.sciencedirect.com/science/article/pii/S0924271622003355},
}

Usage

Please refer to the README.md in the folder for the different steps.

License

PSSNet is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3 of the License or (at your option) any later version. The full text of the license can be found in the accompanying 'License' file.

If you have any questions, comments, or suggestions, please contact me at [email protected]

Weixiao GAO

Feb. 2, 2023