31 October 1997 Spatial-spectral unmixing using the sensor PSF
Author Affiliations +
Abstract
Multispectral image data can be processed to 'unmix' component fractions for each pixel. Traditionally, however, these techniques do not account for the spatial spread of the signal due to the sensor point spread function (PSF). Optical PSFs typically have a width of about 0.5 to 1 pixels, which mixes spectral signatures from outside the ground-instantaneous-field-of-view of the pixel of interest. We have devised a mathematical and algorithmic framework for incorporating the sensor PSF into the unmixing problem. The approach requires solution of additional simultaneous equations from the neighboring pixels around the pixel of interest. These equations include weighting factors derived from the PSF, which is assumed to be adequately known for the specific sensor. The spatial-spectral algorithm has yielded a 28 percent error reduction for a simulated terrestrial scene when compared to a traditional unmixing method.In addition, the spatial-spectral algorithm significantly reduces the spatial width of unmixing error at class boundaries. In conclusion, the modified unmixing algorithm achieves notably improved unmixing results by including the previously ignored PSF effect on spatial- spectral mixing.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eric P. Frans, Eric P. Frans, Robert A. Schowengerdt, Robert A. Schowengerdt, } "Spatial-spectral unmixing using the sensor PSF", Proc. SPIE 3118, Imaging Spectrometry III, (31 October 1997); doi: 10.1117/12.283830; https://doi.org/10.1117/12.283830
PROCEEDINGS
9 PAGES


SHARE
Back to Top