DocumentCode
1053814
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
Volume
4
Issue
3
fYear
2007
fDate
7/1/2007 12:00:00 AM
Firstpage
446
Lastpage
450
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;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2007.895727
Filename
4271474
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