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Spatially adaptive constrained non negative matrix factorization for hyperspectral unmixing
(2014)
This dissertation proposes a spatially adaptive constrained Nonnegative Matrix Factorization (sacNMF) for unmixing of hyperspectral imagery. The image is decomposed into spectrally homogeneous regions using quadtree region ...
Unsupervised unmixing analysis based on multiscale representation
(2013)
Unsupervised unmixing analysis aims to extract the basic materials, the so called endmembers, and their abundances from a hyperspectral image. Unmixing is usually performed by pixels-only techniques that do not take into ...