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Disaster Intensity-Based Selection of Training Samples for Remote Sensing Building Damage Classification.

L. Moya, C. Geiß, M. Hashimoto, E. Mas, S. Koshimura, and G. Strunz. IEEE Trans. Geosci. Remote. Sens., 59 (10): 8288-8304 (2021)

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Searching tsunami affected area by integrating numerical modeling and remote sensing.S. Koshimura, M. Matsuoka, H. Gokon, and Y. Namegaya. IGARSS, page 3905-3908. IEEE, (2010)New Insights into Multiclass Damage Classification of Tsunami-Induced Building Damage from SAR Images.Y. Endo, B. Adriano, E. Mas, and S. Koshimura. Remote Sensing, 10 (12): 2059 (2018)Remote Sensing Approach for Mapping and Monitoring Tsunami Debris.S. Koshimura, and T. Fukuoka. IGARSS, page 4829-4832. IEEE, (2019)Detecting Urban Floods with Small and Large Scale Analysis of ALOS-2/PALSAR-2 Data.H. Gokon, F. Endo, and S. Koshimura. Remote. Sens., 15 (2): 532 (January 2023)A Framework of Rapid Regional Tsunami Damage Recognition From Post-event TerraSAR-X Imagery Using Deep Neural Networks.Y. Bai, C. Gao, S. Singh, M. Koch, B. Adriano, E. Mas, and S. Koshimura. IEEE Geosci. Remote. Sens. Lett., 15 (1): 43-47 (2018)Development of Tsunami Evacuation Simulation of Banda Aceh City Planning.M. Affan, Agussabti, Y. Goto, T. Abidin, and S. Koshimura. SEDE, page 69-74. ISCA, (2011)Tsunami evacuation simulation - case studies for tsunami mitigation at Indonesia, Thailand and Japan.E. Mas, S. Koshimura, F. Imamura, A. Suppasri, A. Muhari, and B. Adriano. SIMULTECH, page 249-254. IEEE, (2014)Developing a Framework for Rapid Collapsed Building Mapping Using Satellite Imagery and Deep Learning Models.B. Adriano, H. Miura, W. Liu, M. Matsuoka, and S. Koshimura. IGARSS, page 1273-1276. IEEE, (2023)Damage Characterization in Urban Environments from Multitemporal Remote Sensing Datasets Built from Previous Events.B. Adriano, J. Xia, N. Yokoya, H. Miura, M. Matsuoka, and S. Koshimura. IGARSS, page 3751-3754. IEEE, (2020)Mathematical Modeling for Ship Evacuation from Tsunami Attack.E. ichi Kobayashi, S. Yoneda, M. Murayama, Y. Taniguchi, H. Hashimoto, and S. Koshimura. SIMULTECH, page 318-325. SciTePress, (2015)

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Disambiguation of "Koshimura, Shunichi"

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Disaster Intensity-Based Selection of Training Samples for Remote Sensing Building Damage Classification.

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Disambiguation of "Koshimura, Shunichi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Disaster Intensity-Based Selection of Training Samples for Remote Sensing Building Damage Classification.

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Disaster Intensity-Based Selection of Training Samples for Remote Sensing Building Damage Classification.