Pyramidal dilation attention convolutional network with active and self-paced learning for hyperspectral image classification

HIGHLIGHTS

• who: Hyperspectral Image Classification and colleagues from the Four hyperspectral datasets are used in the experiments, namely, Indian Pines (IP), University of Pavia (UP), Salinas Valley (SA), and HuangHeKou (HHK)1) Indian Pines: This dataset was gathered by the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) sensor over the IP test site in Northwestern Indiana in, . It consists of , u00d7 , pixels and , spectral bands in the wavelength range of, nm. Among the pixels, only , pixels are feature pixels, and the remaining , pixels are background pixels. The IP scene contains two-third of agricultural land and onethird of forest . . .
  

   

  

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