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Independent component analysis (ICA) is a powerful new method that use information contained in higher order cross-moments of multivariate data to find a linear representation of non-Gaussian data, so that the components are statistically independent. As the perpendicular vegetation index (PVI) of mixed pixel can be expressed by the linear summation of the PVI value of components, we can use remotely...
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