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Independent component analysis for sea ice SAR image classification

Independent component analysis (ICA) is used to compute sets of basis vectors for image data, i.e. for small randomly selected image windows. From these basis vectors a smaller set is selected to be used in classifying sea ice SAR images. A SAR image window is classified based on its projection to the selected basis vectors.