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Stepwise Refinement Of Low Resolution Labels For Earth Observation Data: Part 1., , , , , , , , , and 4 other author(s). IGARSS, page 7054-7057. IEEE, (2020)Stepwise Refinement Of Low Resolution Labels For Earth Observation Data: Part 2., , , , , , , , , and 4 other author(s). IGARSS, page 7066-7069. IEEE, (2020)AD-HOC Situational Awareness During Floods Using Remote Sensing Data and Machine Learning Methods., , , , , , , , and . IGARSS, page 1166-1169. IEEE, (2023)Tree Species Classification by Fusing of Very Highresoltuion Hyperspectral Images and 3K-DSM., , , , , and . WHISPERS, page 1-5. IEEE, (2018)Building Change Detection Based on Deep Learning and Belief Function., , and . JURSE, page 1-4. IEEE, (2019)Multimodal Co-Learning for Building Change Detection: A Domain Adaptation Framework Using VHR Images and Digital Surface Models., , , and . IEEE Trans. Geosci. Remote. Sens., (2024)Multi-layer Thematic Map Representation for Urban Understanding., , , , and . JURSE, page 1-4. IEEE, (2023)User-driven flood response & monitoring information - Key findings of the Data4Human project., , , , , , , , , and . GHTC, page 46-53. IEEE, (2022)Drones4Good: Supporting Disaster Relief Through Remote Sensing and AI., , , , , , , , , and 1 other author(s). ICCV (Workshops), page 3772-3776. IEEE, (2023)A Self-Training Approach Using Benchmark Dataset and Stereo-DSM for Building Extraction., , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)