TY  - EJOU
AU  - 
T1  - The Effect of Impulse Denoising on Geometric Based Hyperspectral Unmixing
T2  - International Journal of Natural Sciences Research

PY  - 2016
VL  - 4
IS  - 5
SN  - 2311-4746

AB  - Hyperspectral unmixing is a process to find number of spectral component
 (called endmember), estimation of endmember signatures and their 
abundance fractions in each pixel on the scene. Geometric based 
algorithms are developed for hyperspectral unmixing problem in the 
literature. The distribution of spectra (points in n-dimensional 
scatterplot) can be used to estimate endmember signatures geometrically.
 Impulse denoising before unmixing process can help getting better 
results for endmember extraction. For this reason, General Prior 
Algorithm (GAP) is used before unmixing process. Experiments using real 
data demonstrate that this preprocessing step provided better results 
for endmember estimation.
KW  - Hyperspectral unmixing
KW  - Vertex component analysis
KW  - Minimum volume 
simplex analysis
KW  - N-finder
KW  - A variable splitting augmented lagrangian 
approach
KW  - General prior algorithm.
DO  - 10.18488/journal.63/2016.4.5/63.5.83.91