DocumentCode :
3333532
Title :
A simple scheme for unmixing hyperspectral data based on the geometry of the N-dimensional simplex
Author :
Honeine, Paul ; Richard, Cédric
Author_Institution :
Inst. Charles Delaunay, Univ. de Technol. de Troyes, Troyes, France
fYear :
2010
fDate :
25-30 July 2010
Firstpage :
2271
Lastpage :
2274
Abstract :
In this paper, we study the problem of decomposing spectra in hyperspectral data into the sum of pure spectra, or endmembers. We propose to jointly extract the endmembers and estimate the corresponding fractions, or abundances. For this purpose, we show that these abundances can be easily computed using volume of simplices, from the same information used in the classical N-Findr algorithm. This results into a simple scheme for unmixing hyperspectral data, with low computational complexity. Experimental results show the efficiency of the proposed method.
Keywords :
communication complexity; computational geometry; image processing; N Findr algorithm; N dimensional simplex; computational complexity; geometry; image analysis; unmixing hyperspectral data; Estimation; Geometry; Hyperspectral imaging; Materials; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
ISSN :
2153-6996
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2010.5651456
Filename :
5651456
Link To Document :
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