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Hyperspectral image unmixing via alternating projected subgradients
Separation of hyperspectral images a convex optimization non-negative matrix factorization data
2015/8/10
We formulate the problem of hyperspectral image unmixing as a nonconvex optimization problem, similar to nonnegative matrix factorization. We present a heuristic for approximately solving this problem...
Compressive Fluorescence Microscopy for Biological and Hyperspectral Imaging
compressive sensing sparse images fluorescence microscopy biological imaging
2015/6/17
The mathematical theory of compressed sensing (CS) asserts that one can acquire signals from measurements whose rate is much lower than the total bandwidth. Whereas the CS theory is now well developed...