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Tsunami evacuation simulation - case studies for tsunami mitigation at Indonesia, Thailand and Japan.

, , , , , and . SIMULTECH, page 249-254. IEEE, (2014)

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Building Damage Mapping Via Transfer Learning., , , and . IGARSS, page 4841-4844. IEEE, (2019)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)A Benchmark High-Resolution GaoFen-3 SAR Dataset for Building Semantic Segmentation., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Damage Mapping After the 2017 Puebla Earthquake in Mexico Using High-Resolution Alos2 Palsar2 Data., , , , and . IGARSS, page 870-873. IEEE, (2018)Combining Deep Learning and Numerical Simulation to Predict Flood Inundation Depth., , , and . IGARSS, page 1154-1157. IEEE, (2023)New Insights into Multiclass Damage Classification of Tsunami-Induced Building Damage from SAR Images., , , and . Remote Sensing, 10 (12): 2059 (2018)Sequential SAR Coherence Method for the Monitoring of Buildings in Sarpole-Zahab, Iran., , , , , and . Remote Sensing, 10 (8): 1255 (2018)A Framework of Rapid Regional Tsunami Damage Recognition From Post-event TerraSAR-X Imagery Using Deep Neural Networks., , , , , , and . IEEE Geosci. Remote. Sens. Lett., 15 (1): 43-47 (2018)Breaking the Limits of Remote Sensing by Simulation and Deep Learning for Flood and Debris Flow Mapping., , , , , , and . CoRR, (2020)Breaking Limits of Remote Sensing by Deep Learning From Simulated Data for Flood and Debris-Flow Mapping., , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)