Building Damage Mapping of the 2024 Noto Peninsula Earthquake, Japan, Using Semi-Supervised Learning and VHR Optical Imagery. - Wiguna, Sesa; Adriano, Bruno; Vescovo, Ruben; Mas, Erick; Mizutani, Ayumu; Koshimura, Shunichi (IEEE Geosci. Remote. Sens. Lett., 2024)

Exploring the Feasibility of Ray Tracing SAR Simulation on Building Damage Assessment. - Ho, Chia Yee; Mas, Erick; Adriano, Bruno; Koshimura, Shunichi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Evaluation of Deep Learning Models for Building Damage Mapping in Emergency Response Settings. - Wiguna, Sesa; Adriano, Bruno; Mas, Erick; Koshimura, Shunichi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Assessment of Deep Learning Models Trained Using Global Remote Sensing Imagery in Real-Context Emergency Response. - Wiguna, Sesa; Adriano, Bruno; Mas, Erick; Koshimura, Shunichi (2024)

Comparative Analysis of Detailed Features in 3D Models for SAR Simulation. - Ho, Chia Yee; Mas, Erick; Adriano, Bruno; Koshimura, Shunichi (2024)

Urban Vulnerability Analysis in the Tributary Basin of the Rimac River, Peru Using High-Resolution Remote Sensing Imagery. - Adriano, Bruno; Moya, Luis; Mas, Erick; Miura, Hiroyuki; Matsuoka, Masashi; Koshimura, Shunichi (2024)

National high-resolution cropland classification of Japan with agricultural census information and multi-temporal multi-modality datasets. - Xia, Junshi; Yokoya, Naoto; Adriano, Bruno; Kanemoto, Keiichiro (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Knowledge distillation based lightweight building damage assessment using satellite imagery of natural disasters. - Bai, Yanbing; Su, Jinhua; Zou, Yulong; Adriano, Bruno (GeoInformatica, 2023)

Combining Deep Learning and Numerical Simulation to Predict Flood Inundation Depth. - Adriano, Bruno; Yokoya, Naoto; Yamanoi, Kazuki; Oishi, Satoru (2023)

Developing a Framework for Rapid Collapsed Building Mapping Using Satellite Imagery and Deep Learning Models. - Adriano, Bruno; Miura, Hiroyuki; Liu, Wen; Matsuoka, Masashi; Koshimura, Shunichi (2023)

OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping. - Xia, Junshi; Yokoya, Naoto; Adriano, Bruno; Broni-Bediako, Clifford (2023)

Breaking Limits of Remote Sensing by Deep Learning From Simulated Data for Flood and Debris-Flow Mapping. - Yokoya, Naoto; Yamanoi, Kazuki; He, Wei; Baier, Gerald; Adriano, Bruno; Miura, Hiroyuki; Oishi, Satoru (IEEE Trans. Geosci. Remote. Sens., 2022)

"Disaster Detection from SAR Images with Different Off-Nadir Angles Using Unsupervised Image Translation. - Song, Jian; Adriano, Bruno; Yokoya, Naoto (2022)

Predicting Flood Inundation Depth Based-on Machine Learning and Numerical Simulation. - Adriano, Bruno; Yokoya, Naoto; Oishi, Satoru (2022)

Self-supervised Learning for Building Damage Assessment from Large-Scale xBD Satellite Imagery Benchmark Datasets. - Xia, Zaishuo; Li, Zelin; Bai, Yanbing; Yu, Jinze; Adriano, Bruno (2022)

Self-Supervised Learning for Building Damage Assessment from Large-scale xBD Satellite Imagery Benchmark Datasets. - Xia, Zaishuo; Li, Zelin; Bai, Yanbing; Yu, Jinze; Adriano, Bruno (CoRR, 2022)

OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping. - Xia, Junshi; Yokoya, Naoto; Adriano, Bruno; Broni-Bediako, Clifford (CoRR, 2022)

A Benchmark High-Resolution GaoFen-3 SAR Dataset for Building Semantic Segmentation. - Xia, Junshi; Yokoya, Naoto; Adriano, Bruno; Zhang, Lianchong; Li, Guoqing; Wang, Zhigang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Building Damage Mapping with Self-PositiveUnlabeled Learning. - Xia, Junshi; Yokoya, Naoto; Adriano, Bruno (CoRR, 2021)

A Semiautomatic Pixel-Object Method for Detecting Landslides Using Multitemporal ALOS-2 Intensity Images. - Adriano, Bruno; Yokoya, Naoto; Miura, Hiroyuki; Matsuoka, Masashi; Koshimura, Shunichi (Remote. Sens., 2020)

Damage Characterization in Urban Environments from Multitemporal Remote Sensing Datasets Built from Previous Events. - Adriano, Bruno; Xia, Junshi; Yokoya, Naoto; Miura, Hiroyuki; Matsuoka, Masashi; Koshimura, Shunichi (2020)

Breaking the Limits of Remote Sensing by Simulation and Deep Learning for Flood and Debris Flow Mapping. - Yokoya, Naoto; Yamanoi, Kazuki; He, Wei; Baier, Gerald; Adriano, Bruno; Miura, Hiroyuki; Oishi, Satoru (CoRR, 2020)

Learning from Multimodal and Multitemporal Earth Observation Data for Building Damage Mapping. - Adriano, Bruno; Yokoya, Naoto; Xia, Junshi; Miura, Hiroyuki; Liu, Wen; Matsuoka, Masashi; Koshimura, Shunichi (CoRR, 2020)

Multi-Source Data Fusion Based on Ensemble Learning for Rapid Building Damage Mapping during the 2018 Sulawesi Earthquake and Tsunami in Palu, Indonesia. - Adriano, Bruno; Xia, Junshi; Baier, Gerald; Yokoya, Naoto; Koshimura, Shunichi (Remote. Sens., 2019)

Building Damage Mapping Via Transfer Learning. - Xia, Junshi; Adriano, Bruno; Baier, Gerald; Yokoya, Naoto (2019)

Cross-Domain-Classification of Tsunami Damage Via Data Simulation and Residual-Network-Derived Features From Multi-Source Images. - Adriano, Bruno; Yokoya, Naoto; Xia, Junshi; Baier, Gerald; Koshimura, Shunichi (2019)

Robust Nonlocal Low-Rank Sar Stack Despeckling With Application To Change Detection. - Baier, Gerald; He, Wei; Adriano, Bruno; Xia, Junshi; Yokoya, Naoto (2019)

A Framework of Rapid Regional Tsunami Damage Recognition From Post-event TerraSAR-X Imagery Using Deep Neural Networks. - Bai, Yanbing; Gao, Chang; Singh, Sameer; Koch, Magaly; Adriano, Bruno; Mas, Erick; Koshimura, Shunichi (IEEE Geosci. Remote. Sens. Lett., 2018)

Novel Unsupervised Classification of Collapsed Buildings Using Satellite Imagery, Hazard Scenarios and Fragility Functions. - Moya, Luis; Pérez, Luis Rafael Marval; Mas, Erick; Adriano, Bruno; Koshimura, Shunichi; Yamazaki, Fumio (Remote. Sens., 2018)

Sequential SAR Coherence Method for the Monitoring of Buildings in Sarpole-Zahab, Iran. - Karimzadeh, Sadra; Matsuoka, Masashi; Miyajima, Masakatsu; Adriano, Bruno; Fallahi, Abdolhossein; Karashi, Jafar (Remote. Sens., 2018)

New Insights into Multiclass Damage Classification of Tsunami-Induced Building Damage from SAR Images. - Endo, Yukio; Adriano, Bruno; Mas, Erick; Koshimura, Shunichi (Remote. Sens., 2018)

Damage Mapping After the 2017 Puebla Earthquake in Mexico Using High-Resolution Alos2 Palsar2 Data. - Adriano, Bruno; Koshimura, Shunichi; Karimzadeh, Sadra; Matsuoka, Masashi; Koch, Magaly (2018)

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. - Adriano, Bruno; Mas, Erick; Koshimura, Shunichi; Gokon, Hideomi; Liu, Wen; Matsuoka, Masashi (2015)

Extraction of damaged areas due to the 2013 Haiyan Typhoon using ASTER data. - Adriano, Bruno; Gokon, Hideomi; Mas, Erick; Koshimura, Shunichi; Liu, Wen; Matsuoka, Masashi (2014)

Damage detection due to the typhoon haiyan from high-resolution SAR images. - Liu, Wen; Matsuoka, Masashi; Adriano, Bruno; Mas, Erick; Koshimura, Shunichi (2014)

Tsunami evacuation simulation - case studies for tsunami mitigation at Indonesia, Thailand and Japan. - Mas, Erick; Koshimura, Shunichi; Imamura, Fumihiko; Suppasri, Anawat; Muhari, Abdul; Adriano, Bruno (2014)