Hyperspectral (HS) images are adjacent band images that are generally used in remote-
sensing applications. They have numerous spatial and spectral information bands that are …

The hyperspectral images (HSIs) classification technique has received widespread attention
in the field of remote sensing. However, how to achieve satisfactory classification …

Exploring semantic structure information contained in the hyperspectral image (HSI) is
significant for accurate HSI classification (HSIC), especially when there are very few labeled …

Hyperspectral image (HSI) is rich in spectral information and spatial information to explore
the physical and chemical properties of the objects, but it also brings many difficulties to the …

Local covariance matrix descriptor is a new spatial-spectral feature generation method. It
has been successfully applied for remote sensing image classification. Meanwhile, there are …

ResNets are currently the mainstream networks used in engineering and research.
However, cellular neural networks have inherent flaws, including typical problems such as …

Hyperspectral (HS) images are adjacent band images that are generally used in
remotesensing applications. They have numerous spatial and spectral information bands …