Determining the intrinsic dimension of a hyperspectral image is an important step in the
spectral unmixing process and under-or overestimation of this number may lead to incorrect …

Linear mixture models are commonly used to represent a hyperspectral data cube as linear
combinations of endmember spectra. However, determining the number of endmembers for …

Endmember is defined as the spectral signature of pure material present in hyperspectral
imagery. Estimation of the number of endmembers (NOE) present in a scene is an important …

Determining the intrinsic dimension of a hyperspectral image is an important step in the
spectral unmixing process and under-or over-estimation of this number may lead to incorrect …

The high spectral redundancy of hyper/ultraspectral Earth-observation satellite imaging
raises three challenges:(a) to design accurate noise estimation methods,(b) to denoise …

Studies on real hyperspectral data have shown that spectrally correlated noise may have a
negative impact on noise approximation methods and hence on procedures that require …

Linear mixture models are commonly used to represent hyperspectral datacube as a linear
combinations of endmember spectra. However, determining of the number of endmembers …

Cet article propose une approche automatique pour estimer le nombre de spectres de
composés purs dans les images hyperspectrales. L'estimation est basée sur de récents …