Inpainting in hyperspectral imagery is a challenging researcharea and several methods have been recently developed todeal with this kind of data. In this paper we address missingdata restoration via a convex optimization technique withregularization term based on Collaborative Total Variation(CTV). In particular we evaluate the effectiveness of severalinstances of CTV in conjunction with different dimensional-ity reduction algorithms.
Hyperspectral image inpainting based on collaborative total variation
Addesso, P.;Dalla Mura, M.;Restaino, R.;Vivone, G.;Picone, D.;
2017-01-01
Abstract
Inpainting in hyperspectral imagery is a challenging researcharea and several methods have been recently developed todeal with this kind of data. In this paper we address missingdata restoration via a convex optimization technique withregularization term based on Collaborative Total Variation(CTV). In particular we evaluate the effectiveness of severalinstances of CTV in conjunction with different dimensional-ity reduction algorithms.File in questo prodotto:
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