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A two-branch Deep Learning architecture for land cover classification of PAN and MS imagery

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MultiResoLCC

A two-branch Deep Learning architecture for land cover classification of PAN and MS imagery

The source code to create the Deep Learning model described in [1]

[1] Raffaele Gaetano, Dino Ienco, Kenji Ose, Rémi Cresson: MRFusion: A Deep Learning architecture to fuse PAN and MS imagery for land cover mapping. CoRR abs/1806.11452 (2018) (https://arxiv.org/abs/1806.11452)

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A two-branch Deep Learning architecture for land cover classification of PAN and MS imagery

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