Nonlinear mixture analysis for hyperspectral imagery

Nonlinear mixture analysis for hyperspectral imagery is investigated in this paper. A simple but effective nonlinear mixture model is adopted, where the multiplication of each pair of endmembers results in another ¿endmember¿, representing nonlinear scattering effect during pixel construction proces...

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Bibliographic Details
Main Authors: Raksuntorn, N., Qian Du
Format: Conference Proceeding
Language:English
Subjects:
hyperspectral imagery
Hyperspectral imaging
Image analysis
Image reconstruction
Image retrieval
Information retrieval
Minerals
nonlinear spectral mixture analysis
Scattering
Soil
Spectral analysis
Yield estimation
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Summary:Nonlinear mixture analysis for hyperspectral imagery is investigated in this paper. A simple but effective nonlinear mixture model is adopted, where the multiplication of each pair of endmembers results in another ¿endmember¿, representing nonlinear scattering effect during pixel construction process. The analysis is followed by original linear demixing process. Due to the larger number of nonlinear terms being added, the resulting abundance estimation may contain some error if most of endmembers do not really participate in the mixture of a pixel. We take advantage of the developed endmember variable linear mixture model (EVLMM) to search the actual endmember set for each pixel, which yields more accurate abundance estimation.
ISSN:2153-6996
2153-7003
DOI:10.1109/IGARSS.2009.5417895