TY - GEN
T1 - A novel mixed pixels unmixing method for multispectral images
AU - Han, Jun Hua
AU - Sun, Zhan Li
AU - Huang, De Shuang
AU - Cheung, Yiu Ming
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2004
Y1 - 2004
N2 - 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. In this paper1, 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 more bands than endmembers, no additive noise and signature spectral matrix S has full column rank, we can estimate the endmember abundances by unconstrained least squares method. Finally, the validity and feasibility of the algorithm are demonstrated by simulation results.
AB - 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. In this paper1, 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 more bands than endmembers, no additive noise and signature spectral matrix S has full column rank, we can estimate the endmember abundances by unconstrained least squares method. Finally, the validity and feasibility of the algorithm are demonstrated by simulation results.
UR - http://www.scopus.com/inward/record.url?scp=10944230813&partnerID=8YFLogxK
U2 - 10.1109/IJCNN.2004.1381040
DO - 10.1109/IJCNN.2004.1381040
M3 - Conference proceeding
AN - SCOPUS:10944230813
SN - 0780383591
T3 - IEEE International Conference on Neural Networks - Conference Proceedings
SP - 2541
EP - 2545
BT - 2004 IEEE International Joint Conference on Neural Networks - Proceedings
T2 - 2004 IEEE International Joint Conference on Neural Networks - Proceedings
Y2 - 25 July 2004 through 29 July 2004
ER -