Hyperspectral Image Unmixing With Endmember Bundles and Group Sparsity Inducing Mixed Norms.

IEEE Transactions on Image Processing(2019)

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摘要
Hyperspectral images provide much more information than conventional imaging techniques, allowing a precise identification of the materials in the observed scene, but because of the limited spatial resolution, the observations are usually mixtures of the contributions of several materials. The spectral unmixing problem aims at recovering the spectra of the pure materials of the scene (endmembers),...
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关键词
Dictionaries,Imaging,Estimation,Data mining,Computational modeling,Hyperspectral imaging,Spatial resolution
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