Superpixel-based plastic litter detection in UAV hyperspectral imaging using spectral-textural features
This repository is the official code for the paper "Superpixel-based plastic litter detection in UAV hyperspectral imaging using spectral-textural features" by G. Settembre, G. Gargano and N. Del Buono submitted to 29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2025) at in Osaka, Japan, 10 - 12 September 2025.
The link to full article will be available here.
If you find the project codes useful for your research, please consider citing
@article{Settembre2025,
title = {Superpixel-based plastic litter detection in UAV hyperspectral imaging using spectral-textural features},
author = {Settembre, Gaetano and Gargano, Grazia and Del Buono, Nicoletta},
journal = {Procedia Computer Science},
volume = {270},
issn = {1877-0509},
url = {http://dx.doi.org/10.1016/j.procs.2025.09.626},
DOI = {10.1016/j.procs.2025.09.626},
publisher = {Elsevier BV},
note = {29th International Conference on Knowledge Based and Intelligent information and Engineering Systems (KES 2025)},
year = {2025},
month = nov,
pages = {4997-5006},
keywords = {Plastic litter detection, Hyperspectral imaging, Explainable machine learning, Spectral-textural analysis, UAV}
}
The entire content of this repository is released as free (as in "libre") under the GNU GPL v3 only License or the CC BY-SA 4.0 License as follows:
- All the source code is released under the GNU GPL v3 only;
- All the content (either textual, visual or audio) is released under the CC BY-SA 4.0.