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The classification of hyperspectral imagery is a challenging problem because few labeled pixels are available. In this letter, we propose a new semisupervised learning algorithm to combine both cluster and manifold assumptions to increase classification reliability and accuracy. The new method uses a concave–convex procedure and sequential minimization(More)
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