Hyperdeep: Comparison of Ai-Based Methods for Predicting Chemical Components in Hyperspectral Images

Alberto Velasco-Mata, Noelia Vállez, Jesús Ruiz-Santaquiteria, Aníbal Pedraza, Oscar Déniz, Gloria Bueno. Hyperdeep: Comparison of Ai-Based Methods for Predicting Chemical Components in Hyperspectral Images. In 2022 IEEE International Conference on Image Processing, ICIP 2022, Bordeaux, France, 16-19 October 2022. pages 4287-4291, IEEE, 2022. [doi]

@inproceedings{Velasco-MataVRP22,
  title = {Hyperdeep: Comparison of Ai-Based Methods for Predicting Chemical Components in Hyperspectral Images},
  author = {Alberto Velasco-Mata and Noelia Vállez and Jesús Ruiz-Santaquiteria and Aníbal Pedraza and Oscar Déniz and Gloria Bueno},
  year = {2022},
  doi = {10.1109/ICIP46576.2022.9897549},
  url = {https://doi.org/10.1109/ICIP46576.2022.9897549},
  researchr = {https://researchr.org/publication/Velasco-MataVRP22},
  cites = {0},
  citedby = {0},
  pages = {4287-4291},
  booktitle = {2022 IEEE International Conference on Image Processing, ICIP 2022, Bordeaux, France, 16-19 October 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-9620-9},
}