Browsing Department of Computational and Data Sciences (CDS) by Subject "nonlinear unmixing"
Now showing items 1-1 of 1
-
Augmenting Hyperspectral Image Unmixing Models Using Spatial Correlation, Spectral Variability, And Sparsity
Hyperspectral imaging sensors sample sunlight reflected from different targets on Earth's surface by utilising a series of contiguous narrow spectral channels. The higher spectral resolution of hyperspectral images (HSIs) ...