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Damage detection due to the typhoon haiyan from high-resolution SAR images.

, , , , and . IGARSS, page 4828-4831. IEEE, (2014)

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Searching tsunami affected area by integrating numerical modeling and remote sensing., , , and . IGARSS, page 3905-3908. IEEE, (2010)Damage Characterization in Urban Environments from Multitemporal Remote Sensing Datasets Built from Previous Events., , , , , and . IGARSS, page 3751-3754. IEEE, (2020)Developing a Framework for Rapid Collapsed Building Mapping Using Satellite Imagery and Deep Learning Models., , , , and . IGARSS, page 1273-1276. IEEE, (2023)Tsunami evacuation simulation - case studies for tsunami mitigation at Indonesia, Thailand and Japan., , , , , and . SIMULTECH, page 249-254. IEEE, (2014)Remote Sensing Approach for Mapping and Monitoring Tsunami Debris., and . IGARSS, page 4829-4832. IEEE, (2019)Development of Tsunami Evacuation Simulation of Banda Aceh City Planning., , , , and . SEDE, page 69-74. ISCA, (2011)Assessment of Deep Learning Models Trained Using Global Remote Sensing Imagery in Real-Context Emergency Response., , , and . IGARSS, page 1736-1740. IEEE, (2024)The Potential Role of News Media to Construct a Machine Learning Based Damage Mapping Framework., , , and . Remote. Sens., 13 (7): 1401 (2021)Cross-Domain-Classification of Tsunami Damage Via Data Simulation and Residual-Network-Derived Features From Multi-Source Images., , , , and . IGARSS, page 4947-4950. IEEE, (2019)Automatic Collection of Training Samples for Flooded Areas., , , and . IGARSS, page 8305-8308. IEEE, (2021)