• Corpus ID: 239050243

3D-ANAS v2: Grafting Transformer Module on Automatically Designed ConvNet for Hyperspectral Image Classification

@article{Xue20213DANASVG,
  title={3D-ANAS v2: Grafting Transformer Module on Automatically Designed ConvNet for Hyperspectral Image Classification},
  author={Xizhe Xue and Haokui Zhang and Zongwen Bai and Ying Li},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.11084}
}
  • Xizhe Xue, Haokui Zhang, +1 author Ying Li
  • Published 21 October 2021
  • Computer Science
  • ArXiv
Hyperspectral image (HSI) classification has been a hot topic for decides, as Hyperspectral image has rich spatial and spectral information, providing strong basis for distinguishing different land-cover objects. Benefiting from the development of deep learning technologies, deep learning based HSI classification methods have achieved promising performance. Recently, several neural architecture search (NAS) algorithms are proposed for HSI classification, which further improve the accuracy of… 
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TLDR
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