Author of the publication

Enhancement of Detecting Permanent Water and Temporary Water in Flood Disasters by Fusing Sentinel-1 and Sentinel-2 Imagery Using Deep Learning Algorithms: Demonstration of Sen1Floods11 Benchmark Datasets.

, , , , , , , , and . Remote. Sens., 13 (11): 2220 (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

No persons found for author name Koshimura, Shunichi
add a person with the name Koshimura, Shunichi
 

Other publications of authors with the same name

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)Detecting Urban Floods with Small and Large Scale Analysis of ALOS-2/PALSAR-2 Data., , and . Remote. Sens., 15 (2): 532 (January 2023)Development of Tsunami Evacuation Simulation of Banda Aceh City Planning., , , , and . SEDE, page 69-74. ISCA, (2011)Remote Sensing Approach for Mapping and Monitoring Tsunami Debris., and . IGARSS, page 4829-4832. IEEE, (2019)Searching tsunami affected area by integrating numerical modeling and remote sensing., , , and . IGARSS, page 3905-3908. IEEE, (2010)New Insights into Multiclass Damage Classification of Tsunami-Induced Building Damage from SAR Images., , , and . Remote Sensing, 10 (12): 2059 (2018)Tsunami evacuation simulation - case studies for tsunami mitigation at Indonesia, Thailand and Japan., , , , , and . SIMULTECH, page 249-254. IEEE, (2014)Developing a Framework for Rapid Collapsed Building Mapping Using Satellite Imagery and Deep Learning Models., , , , and . IGARSS, page 1273-1276. IEEE, (2023)Damage Characterization in Urban Environments from Multitemporal Remote Sensing Datasets Built from Previous Events., , , , , and . IGARSS, page 3751-3754. IEEE, (2020)Estimating Tsunami Inundation Depth Using Terrasar-X Data., , and . IGARSS, page 4845-4848. IEEE, (2019)