Corpus ID: 236171108

Rule-Based Classification of Hyperspectral Imaging Data

@article{Polat2021RuleBasedCO,
  title={Rule-Based Classification of Hyperspectral Imaging Data},
  author={Songuel Polat and Alain Tr{\'e}meau and Frank Boochs},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.10638}
}
Due to its high spatial and spectral information content, hyperspectral imaging opens up new possibilities for a better understanding of data and scenes in a wide variety of applications. An essential part of this process of understanding is the classification part. In this article we present a general classification approach based on the shape of spectral signatures. In contrast to classical classification approaches (e.g. SVM, KNN), not only reflectance values are considered, but also… Expand

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