Hyperspectral dataset and associated MATLAB scripts supplementary to the paper 'Towards Robust River Plastic Detection: Combining Lab and Field-based Hyperspectral Imagery'
This database is the supplementary material of Tasseron et al., (2022): 'Towards Robust River Plastic Detection: Combining Lab and Field-based Hyperspectral Imagery' [Submitted and currently under review], preprint available online at https://doi.org/10.31223/X5RW7V. The dataset contains raw images, MATLAB scripts used for training classifier algorithms, trained pipelines, required toolboxes and labelled training datasets used in subsequent analyses.
Funding
NWO Open Mind grant 18127
4TU.Federation Plantenna project
Veni research program The River Plastic Monitoring Project with project number 18211
History
Publisher
4TU.ResearchData
Format
Zipped folder containing:
- Image files used in analyses (.hdr, .mat, .raw)
- MATLAB scripts (.m)
- Trained pipelines to be imported in MATLAB(.mat)
- Toolboxes (.m)
- Training datasets to be imported in MATLAB (.mat)
Organizations
Hydrology and Quantitative Water Management, Wageningen University & Research
IMEC
OnePlanet Research Center