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Proceedings Paper

New sub-pixel unmixing method based on blind signal separation
Author(s): Shan Guo; Yue Yu; Weidong Sun
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Paper Abstract

Through a closer analysis of the mixing process which forms the mixed pixels in multispectral/hyperspectral images and the physical meanings of fractional abundances, the linear mixing model for the satellite remote sensing image is rebuilt firstly. Then based on the linear mixing model, a new sub-pixel unmixing method is proposed to estimate the abundance maps and the spectrums of endmembers. Some experimental results using both simulated hyperspectral data and the real hyperspectral data show that the new method proposed in this paper is feasible and valid. The estimated abundance maps and spectrums of endmembers are comparable with that of the real ones.

Paper Details

Date Published: 14 November 2007
PDF: 7 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 679014 (14 November 2007); doi: 10.1117/12.748371
Show Author Affiliations
Shan Guo, Tsinghua Univ. (China)
Yue Yu, Tsinghua Univ. (China)
Weidong Sun, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

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