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Articles | Volume 3
Abstr. Int. Cartogr. Assoc., 3, 189, 2021
https://doi.org/10.5194/ica-abs-3-189-2021
Abstr. Int. Cartogr. Assoc., 3, 189, 2021
https://doi.org/10.5194/ica-abs-3-189-2021

  13 Dec 2021

13 Dec 2021

Computationally efficient sequential feature extraction for single hyperspectral remote sensing image classification

Andong Ma and Anthony M. Filippi Andong Ma and Anthony M. Filippi
  • Department of Geography, College of Geosciences, Texas A&M University, College Station, TX, 77843, USA

Keywords: Hyperspectral remote sensing, Classification, Recurrent neural networks, Deep learning

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