Abstract: Sparse transforms and dictionary learning (DL) play important roles in seismic data denoising. For high-dimensional data, most of these methods consider the data as a combination of 2-D data ...

Abstract: The purpose of hyperspectral unmixing (HU) is to extract the spectral signatures and their proportion fractions from the hyperspectral remote sensing image (HSIs), which is a crucial issue ...