HYPERSPECTRAL AND MULTISPECTRAL WASSERSTEIN BARYCENTER FOR IMAGE FUSION

Abstract : The fusion of hyperspectral and multispectral images is a crucial task nowadays for it allows the extraction of relevant information from the fused image. Fusion consists of the combination of the spectral information of the hypespectral image (h) and the spatial information of the multispectral image (m). The fused image (f) has both good spatial and spectral information. In this paper we suggest a new hyperspectral and multispectral image (h-m) fusion approach based on Optimal Transport (OT) which highlights the idea of energy transfer from the starting images m and h to the resulting image f. The simulations show that the suggested method is effective and compares competitively with other state-of-the-art methods .
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Jamila Mifdal, Bartomeu Coll, Nicolas Courty, Jacques Froment, Béatrice Vedel. HYPERSPECTRAL AND MULTISPECTRAL WASSERSTEIN BARYCENTER FOR IMAGE FUSION. IGARSS 2017, Jul 2017, Houston, United States. ⟨hal-01620601⟩

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