DocumentCode :
1429767
Title :
A New Sequential Algorithm for Hyperspectral Endmember Extraction
Author :
Du, Qian
Author_Institution :
Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS, USA
Volume :
9
Issue :
4
fYear :
2012
fDate :
7/1/2012 12:00:00 AM
Firstpage :
695
Lastpage :
699
Abstract :
Endmember extraction is an important step in spectral mixture analysis when endmembers are unknown. Endmembers are usually assumed to be pure pixels present in an image scene. Under this circumstance, endmember extraction is to find the most distinctive pixels. To make the searching process more efficient, the sequential forward search (SFS) method is generally used, where the next endmember is determined with a certain criterion based on the currently extracted endmember set. This letter proposes a new criterion which is related to the estimated endmember abundances. Compared to other sequential endmember extraction algorithms, the proposed method can find all the different endmembers faster. This letter also proposes to use the sequential forward floating search method as the substitute of SFS, which can improve the performance of all the sequential endmember extraction algorithms.
Keywords :
feature extraction; geophysical image processing; search problems; hyperspectral endmember extraction; image scene; pure pixel; sequential algorithm; sequential endmember extraction algorithm; sequential forward floating search method; spectral mixture analysis; Accuracy; Algorithm design and analysis; Hyperspectral imaging; Materials; Scattering; Endmember extraction; hyperspectral imagery; linear mixture analysis; sequential forward floating search (SFFS); sequential forward searching;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2011.2178815
Filename :
6138283
Link To Document :
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