computer-vision-12
Hyperspectral Unmixing
3260 papers • 126 benchmarks • 313 datasets
Hyperspectral Unmixing is a procedure that decomposes the measured pixel spectrum of hyperspectral data into a collection of constituent spectral signatures (or endmembers) and a set of corresponding fractional abundances. Hyperspectral Unmixing techniques have been widely used for a variety of applications, such as mineral mapping and land-cover change detection. Source: An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing
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