Title :
Sparsity Promoting Iterated Constrained Endmember Detection in Hyperspectral Imagery
Author :
Zare, Alina ; Gader, Paul
Author_Institution :
Dept. of Comput. & Inf. Sci. & Eng., Univ. of Florida, Gainesville, FL
fDate :
7/1/2007 12:00:00 AM
Abstract :
An extension of the iterated constrained endmember (ICE) algorithm that incorporates sparsity-promoting priors to find the correct number of endmembers is presented. In addition to solving for endmembers and endmember fractional maps, this algorithm attempts to autonomously determine the number of endmembers that are required for a particular scene. The number of endmembers is found by adding a sparsity-promoting term to ICE´s objective function.
Keywords :
geophysical signal processing; geophysical techniques; image processing; remote sensing; endmember fractional maps; hyperspectral imagery; sparsity promoting iterated constrained endmember detection; Geometry; Hyperspectral imaging; Ice; Iterative algorithms; Layout; Least squares methods; Minimization methods; Pixel; SPICE; Solid modeling; Endmember; hyperspectral imagery; sparsity promotion;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2007.895727
