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Semi-supervised segmentation of land cover images using nonlinear canonical correlation analysis with multiple features and t-SNE
This suggests that, in order to account for spatial correlation between pixels, a feature vector associated with each pixel may be a vectorized tensor representing the multiple bands and a local patch as appropriate.
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