DocumentCode
2467983
Title
An evaluation of three endmember extraction algorithms: ATGP, ICA-EEA & VCA
Author
Gerg, Isaac
Author_Institution
Penn State Appl. Res. Lab., State College, PA, USA
fYear
2010
fDate
14-16 June 2010
Firstpage
1
Lastpage
4
Abstract
In this paper, we evaluate three endmember extraction algorithms for use in hyperspectral imagery unmixing: automatic target generation procedure (ATGP), independent component analysis endmember extraction algorithm (ICA-EEA), and vertex component analysis (VCA). We evaluate each algorithm´s ability to find known pure pixels in a scene of simulated data. Several variations of simulated data are used to thoroughly examine the unmixing limits of each algorithm.
Keywords
feature extraction; image processing; independent component analysis; ATGP; ICA-EEA; VCA; automatic target generation procedure; hyperspectral imagery unmixing; independent component analysis endmember extraction algorithm; vertex component analysis; Algorithm design and analysis; Classification algorithms; Hyperspectral imaging; Independent component analysis; Materials; Signal to noise ratio; ATGP; Hyperspectral unmixing; ICA-EEA; VCA;
fLanguage
English
Publisher
ieee
Conference_Titel
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2010 2nd Workshop on
Conference_Location
Reykjavik
Print_ISBN
978-1-4244-8906-0
Electronic_ISBN
978-1-4244-8907-7
Type
conf
DOI
10.1109/WHISPERS.2010.5594830
Filename
5594830
Link To Document