A stepwise analytical projected gradient descent search for hyperspectral unmixing and its code vectorization
We present, in this paper, a new methodology for spectral unmixing, where a vector of
fractions, corresponding to a set of endmembers (EMs), is estimated for each pixel in the …
fractions, corresponding to a set of endmembers (EMs), is estimated for each pixel in the …
Spatially adaptive hyperspectral unmixing based on sums of 2D Gaussians for modelling endmember fraction surfaces
F Kizel, M Shoshany… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Performing standard unmixing of a hyperspectral image, while taking into account all of the
potential endmembers (EMs) in a pixel, is known to be prone to error. Instead, determining …
potential endmembers (EMs) in a pixel, is known to be prone to error. Instead, determining …
[PDF][PDF] A Stepwise Analytical Gradient Descent Search for Hyperspectral Unmixing and Its Parallel Code Vectorization
F Kizel, M Shoshany, NS Netanyahu - u.cs.biu.ac.il
Spectral mixture analysis (SMA) is a very important task for hyper-spectral image analysis, in
general, and subpixe Page 1 1 Abstract — Spectral mixture analysis (SMA) is a very important …
general, and subpixe Page 1 1 Abstract — Spectral mixture analysis (SMA) is a very important …