New sub-pixel unmixing method based on blind signal separation

Shan Guo; Yue Yu; Weidong Sun

doi:10.1117/12.748371

14 November 2007 New sub-pixel unmixing method based on blind signal separation

Shan Guo, Yue Yu, Weidong Sun

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 679014 (2007) https://doi.org/10.1117/12.748371
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Shan Guo, Yue Yu, and Weidong Sun "New sub-pixel unmixing method based on blind signal separation", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 679014 (14 November 2007); https://doi.org/10.1117/12.748371

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