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