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Developing a method for urban damage mapping using radar signatures of building footprint in SAR imagery: A case study after the 2013 Super Typhoon Haiyan.

B. Adriano, E. Mas, S. Koshimura, H. Gokon, W. Liu, and M. Matsuoka. IGARSS, page 3579-3582. IEEE, (2015)

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Stephan Mäs

Sandra Erickson

Susan J Erickson

Erick Stoll

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Developing a method for urban damage mapping using radar signatures of building footprint in SAR imagery: A case study after the 2013 Super Typhoon Haiyan.B. Adriano, E. Mas, S. Koshimura, H. Gokon, W. Liu, and M. Matsuoka. IGARSS, page 3579-3582. IEEE, (2015)Novel Unsupervised Classification of Collapsed Buildings Using Satellite Imagery, Hazard Scenarios and Fragility Functions.L. Moya, L. Pérez, E. Mas, B. Adriano, S. Koshimura, and F. Yamazaki. Remote. Sens., 10 (2): 296 (2018)Technical Solution Discussion for Key Challenges of Operational Convolutional Neural Network-Based Building-Damage Assessment from Satellite Imagery: Perspective from Benchmark xBD Dataset.J. Su, Y. Bai, X. Wang, D. Lu, B. Zhao, H. Yang, E. Mas, and S. Koshimura. Remote. Sens., 12 (22): 3808 (2020)Sparse Representation-Based Inundation Depth Estimation Using SAR Data and Digital Elevation Model.L. Moya, E. Mas, and S. Koshimura. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)Evaluation of Deep Learning Models for Building Damage Mapping in Emergency Response Settings.S. Wiguna, B. Adriano, E. Mas, and S. Koshimura. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)Optimizing the Post-disaster Resource Allocation with Q-Learning: Demonstration of 2021 China Flood.L. Dong, Y. Bai, Q. Xu, and E. Mas. DEXA (2), volume 13427 of Lecture Notes in Computer Science, page 256-262. Springer, (2022)Flood Inundation Depth Estimation from SAR-Based Flood Extent and DEM.L. Moya, E. Mas, and S. Koshimura. IGARSS, page 337-340. IEEE, (2023)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.Y. Bai, W. Wu, Z. Yang, J. Yu, B. Zhao, X. Liu, H. Yang, E. Mas, and S. Koshimura. Remote. Sens., 13 (11): 2220 (2021)Towards Operational Satellite-Based Damage-Mapping Using U-Net Convolutional Network: A Case Study of 2011 Tohoku Earthquake-Tsunami.Y. Bai, E. Mas, and S. Koshimura. Remote Sensing, 10 (10): 1626 (2018)The Potential Role of News Media to Construct a Machine Learning Based Damage Mapping Framework.G. Okada, L. Moya, E. Mas, and S. Koshimura. Remote. Sens., 13 (7): 1401 (2021)

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Disambiguation of "Mas, Erick"

Please choose a person to relate this publication to

Stephan Mäs

Stephan Mäs

Sandra Erickson

Susan J Erickson

Erick Stoll

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Mas, Erick"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Developing a method for urban damage mapping using radar signatures of building footprint in SAR imagery: A case study after the 2013 Super Typhoon Haiyan.

Please choose a person to relate this publication to

Stephan Mäs

Stephan Mäs

Sandra Erickson

Susan J Erickson

Erick Stoll

Other publications of authors with the same name

Disambiguation