DocumentCode :
911189
Title :
Improved Process for Use of a Simplex Growing Algorithm for Endmember Extraction
Author :
Wu, Cheng ; Lo, Chien Shun ; Chang, Chein-I
Author_Institution :
Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland Baltimore County, Baltimore, MD
Volume :
6
Issue :
3
fYear :
2009
fDate :
7/1/2009 12:00:00 AM
Firstpage :
523
Lastpage :
527
Abstract :
A recent paper by Chang develops a new algorithm, called the simplex growing algorithm, which has shown promise in end member extraction. There is an erroneous description made for one of synthetic image experiments. While making a simple correction would have sufficed, a series of studies has led to interesting and intriguing results on how to determine an appropriate number of end members p, how to design a better end member extraction algorithm, and how to use an effective technique to perform dimensionality reduction.
Keywords :
feature extraction; geophysical signal processing; remote sensing; dimensionality reduction; end member extraction; simplex growing algorithm; synthetic image experiments; Endmember extraction; signature subspace estimate (SSE); simplex growing algorithm (SGA); vertex component analysis (VCA); virtual dimensionality (VD);
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2009.2016223
Filename :
4967975
Link To Document :
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