The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008
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captured on undulating earth surfaces., These terrain
illumination effects have serious consequences for the
application of quantitative methods, including classification of
land cover types and linear spectral analysis. So the main
objective of this paper is to quantitatively evaluate the accuracy
uncertainty of LSMM affected by the terrain undulation with
the hope that this study could offer new theory basis for LSMM
applications in mountainous area and furthermore improve the
unmixing accuracy of LSMM. To this end, via taking unmixing
vegetation abundance as an example, we choose the ASTER
data equipped with relatively broad spectral range, fine spatial
resolution, a large number of bands, and concentrated our study
on part of suburb in Fuzhou, China. The following section is
described to introduce the test site and the ASTER data
followed by ASTER data processing. Then the C terrain
undulation correction was used and subsequently LSMM was
applied to both original ASTER data and C terrain undulation
corrected ASTER image covering test site. Finally a regression
analysis between vegetation abundances and NDVI, MVI
extracted from originally or terrain corrected ASTER data
using systematically sampling was implemented and the
correlation coefficient as a indicator index was selected to
quantitate the terrain undulate impact.