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MRFusion: A Deep Learning architecture to fuse PAN and MS imagery for land cover mapping., , , and . CoRR, (2018)Combining Sentinel-1 and Sentinel-2 Time Series via RNN for Object-Based Land Cover Classification., , , , and . IGARSS, page 4881-4884. IEEE, (2019)Evaluation of ALOS/PALSAR L-Band Data for the Estimation of Eucalyptus Plantations Aboveground Biomass in Brazil., , , , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 8 (8): 3802-3811 (2015)Toward an Operational Bare Soil Moisture Mapping Using TerraSAR-X Data Acquired Over Agricultural Areas., , , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 6 (2-3): 900-916 (2013)Combining Sentinel-1 and Sentinel-2 Time Series via RNN for object-based land cover classification., , , , and . CoRR, (2018)DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn., , , and . CoRR, (2018)M3Fusion: A Deep Learning Architecture for Multi-Scale/Modal/Temporal satellite data fusion., , , , , and . CoRR, (2018)Estimation of Eucalyptus plantations above ground biomass in Brazil using ALOS/PALSAR L-band data., , , , , , , and . IGARSS, page 721-724. IEEE, (2014)A Two-Branch CNN Architecture for Land Cover Classification of PAN and MS Imagery., , , and . Remote Sensing, 10 (11): 1746 (2018)Towards combining Satellite Imagery and VGI for Urban LULC classification., , and . JURSE, page 1-4. IEEE, (2019)