Search Results for author: R. Pensa

Found 1 papers, 1 papers with code

M3Fusion: A Deep Learning Architecture for Multi-{Scale/Modal/Temporal} satellite data fusion

1 code implementation5 Mar 2018 P. Benedetti, D. Ienco, R. Gaetano, K. Osé, R. Pensa, S. Dupuy

With the aim to tackle land cover mapping through the fusion of multi-temporal High Spatial Resolution and Very High Spatial Resolution satellite images, we propose an End-to-End Deep Learning framework, named M3Fusion, able to leverage simultaneously the temporal knowledge contained in time series data as well as the fine spatial information available in VHSR information.

Earth Observation Time Series +1

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