Hyperspectral Unmixing of Agricultural Images taken from UAV Using Adapted U-Net Architecture
<|reference_start|>Hyperspectral Unmixing of Agricultural Images taken from UAV Using Adapted U-Net Architecture: The hyperspectral unmixing method is an algorithm that extracts material (usually called endmember) data from hyperspectral data cube pixels along with their abundances. Due to a lower spatial resolution of hyperspectral sensors data in each of the pixels may contain mixed information from multiple endmembers. In this paper we create a hyperspectral unmixing dataset, created from blueberry field data gathered by a hyperspectral camera mounted on a UAV. We also propose a hyperspectral unmixing algorithm based on U-Net network architecture to achieve more accurate unmixing results on existing and newly created hyperspectral unmixing datasets.<|reference_end|>
@article{paura2024hyperspectral,
    title={Hyperspectral Unmixing of Agricultural Images taken from UAV Using
  Adapted U-Net Architecture},
    author={Vytautas Paura, Virginijus Marcinkeviv{c}ius},
    journal={arXiv preprint arXiv:2409.19701},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.19701},
    primaryClass={eess.IV cs.CV}
}