In recent years, with the rapid advancement of hyperspectral imaging technology, a growing
number of hyperspectral reconstruction approaches have arisen. However, most present …

We propose a CNN for semantic segmentation with classes which may be non-separable in
the spatial domain, but distinguishable by additionally exploiting the spectral domain. In this …

This paper proposes a preprocessing algorithm for aerospace hyperspectral images based
on a mathematical apparatus effectively applied in pre-compression transformation …

Band selection is crucial in spectral imaging, as it involves choosing the most relevant bands
from large hyperspectral datasets to retain essential information while reducing the burden …