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A census from heaven: Unraveling the potential of deep learning and Earth Observation for intra-urban population mapping in data scarce environments.

, , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2022)

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Mapping Urban Population Growth from Sentinel-2 MSI and Census Data Using Deep Learning: A Case Study in Kigali, Rwanda., , , and . JURSE, page 1-4. IEEE, (2023)Investigating Imbalances Between SAR and Optical Utilization for Multi-Modal Urban Mapping., , and . JURSE, page 1-4. IEEE, (2023)Multi-Modal Deep Learning for Multi-Temporal Urban Mapping with a Partly Missing Optical Modality., and . IGARSS, page 6843-6846. IEEE, (2023)Cross-Modal Hashing With Feature Semi-Interaction and Semantic Ranking for Remote Sensing Ship Image Retrieval., , , , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2024)Exploring the Fusion of Sentinel-1 SAR and Sentinel-2 MSI Data for Built-Up Area Mapping Using Deep Learning., , and . IGARSS, page 4720-4723. IEEE, (2021)A census from heaven: Unraveling the potential of deep learning and Earth Observation for intra-urban population mapping in data scarce environments., , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2022)Urban Change Detection Using a Dual-Task Siamese Network and Semi-Supervised Learning., , and . IGARSS, page 1071-1074. IEEE, (2022)Semi-Supervised Urban Change Detection Using Multi-Modal Sentinel-1 SAR and Sentinel-2 MSI Data., , and . Remote. Sens., 15 (21): 5135 (November 2023)Sentinel-1 and Sentinel-2 Data Fusion for Urban Change Detection Using a Dual Stream U-Net., , , and . IEEE Geosci. Remote. Sens. Lett., (2022)Monitoring urbanization and environmental impact in Kigali, Rwanda using Sentinel-2 MSI data and ecosystem service bundles., , , and . Int. J. Appl. Earth Obs. Geoinformation, (2022)