Hyperspectral image classification—Traditional to deep models: A survey for future prospects
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, ie, 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 addresses the nonlinear …
because it benefits from the detailed spectral information contained in each pixel. Notably,
the complex characteristics, ie, 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 addresses the nonlinear …
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