DocumentCode :
2326841
Title :
A novel mixed pixels unmixing method for multispectral images
Author :
Han, Jun-Hua ; Huang, De-Shuang ; Sun, Zhan-li ; Cheung, Yiu-Ming
Author_Institution :
Intelligent Comput. Lab., Chinese Acad. of Sci., Hefei, China
Volume :
4
fYear :
2004
fDate :
25-29 July 2004
Firstpage :
2541
Abstract :
The key to mixed pixels unmixing is to determine a set of spectral endmembers that are representative of the surface components in the area covered by multispectral images. We propose a geometric method utilizing the spectrum of two or three bands to determine the endmembers under the assumption that the endmembers are the pure surface components that lie in the extremities of the scatter plot of 2- or 3-band reflectance. If there are more bands than endmembers, no additive noise and signature spectral matrix S has full column rank, we can estimate the endmemher abundances by unconstrained least squares method. Finally, the validity and feasibility of the algorithm are demonstrated by simulation results.
Keywords :
image processing; least squares approximations; geometric method; mixed pixels unmixing method; multispectral images; spectral endmembers; unconstrained least squares method; Computer science; Extremities; Layout; Least squares methods; Machine intelligence; Maximum likelihood estimation; Multispectral imaging; Remote sensing; Smart pixels; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
ISSN :
1098-7576
Print_ISBN :
0-7803-8359-1
Type :
conf
DOI :
10.1109/IJCNN.2004.1381040
Filename :
1381040
Link To Document :
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