Corpus ID: 231627645

Hyperspectral Image Classification - Traditional to Deep Models: A Survey for Future Prospects

  title={Hyperspectral Image Classification - Traditional to Deep Models: A Survey for Future Prospects},
  author={Sidrah Shabbir and Muhammad Ahmad},
Hyperspectral Imaging (HSI) has been extensively utilized in many real-life applications because it benefits from the detailed spectral information contained in each pixel. Notably, the complex characteristics i.e., the nonlinear relation among the captured spectral information and the corresponding object of HSI data make accurate classification challenging for traditional methods. In the last few years, deep learning (DL) has been substantiated as a powerful feature extractor that effectively… Expand
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Deep global-local transformer network combined with extended morphological profiles for hyperspectral image classification
  • Xiong Tan, Kuiliang Gao, Bing Liu, Yumeng Fu, Lei Kang
  • Engineering
  • Journal of Applied Remote Sensing
  • 2021
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