Extraction of damaged areas due to the 2013 Haiyan Typhoon using ASTER data. - Bruno Adriano; Hideomi Gokon; Erick Mas; Shunichi Koshimura; Wen Liu 001; Masashi Matsuoka (IGARSS, 2014)

Damage detection due to the typhoon haiyan from high-resolution SAR images. - Wen Liu 001; Masashi Matsuoka; Bruno Adriano; Erick Mas; Shunichi Koshimura (IGARSS, 2014)

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

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. - Bruno Adriano; Erick Mas; Shunichi Koshimura; Hideomi Gokon; Wen Liu 001; Masashi Matsuoka (IGARSS, 2015)

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

A Framework of Rapid Regional Tsunami Damage Recognition From Post-event TerraSAR-X Imagery Using Deep Neural Networks. - Yanbing Bai; Chang Gao 001; Sameer Singh 001; Magaly Koch; Bruno Adriano; Erick Mas; Shunichi Koshimura (IEEE Geosci. Remote. Sens. Lett., 2018)

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

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

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

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

Robust Nonlocal Low-Rank Sar Stack Despeckling With Application To Change Detection. - Gerald Baier; Wei He 003; Bruno Adriano; Junshi Xia; Naoto Yokoya (IGARSS, 2019)

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

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

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

Breaking the Limits of Remote Sensing by Simulation and Deep Learning for Flood and Debris Flow Mapping. - Naoto Yokoya; Kazuki Yamanoi; Wei He 003; Gerald Baier; Bruno Adriano; Hiroyuki Miura; Satoru Oishi (CoRR, 2020)

Learning from Multimodal and Multitemporal Earth Observation Data for Building Damage Mapping. - Bruno Adriano; Naoto Yokoya; Junshi Xia; Hiroyuki Miura; Wen Liu 001; Masashi Matsuoka; Shunichi Koshimura (CoRR, 2020)

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

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

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

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

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

Self-supervised Learning for Building Damage Assessment from Large-Scale xBD Satellite Imagery Benchmark Datasets. - Zaishuo Xia; Zelin Li 003; Yanbing Bai; Jinze Yu 003; Bruno Adriano (DEXA (1), 2022)

Breaking Limits of Remote Sensing by Deep Learning From Simulated Data for Flood and Debris-Flow Mapping. - Naoto Yokoya; Kazuki Yamanoi; Wei He 003; Gerald Baier; Bruno Adriano; Hiroyuki Miura; Satoru Oishi (IEEE Trans. Geosci. Remote. Sens., 2022)

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

Developing a Framework for Rapid Collapsed Building Mapping Using Satellite Imagery and Deep Learning Models. - Bruno Adriano; Hiroyuki Miura; Wen Liu 001; Masashi Matsuoka; Shunichi Koshimura (IGARSS, 2023)

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

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

National High-Resolution Cropland Classification of Japan with Agricultural Census Information and Multi-temporal Multi-modality datasets. - Junshi Xia; Naoto Yokoya; Bruno Adriano; Keiichiro Kanemoto (Zenodo, 2023)

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

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

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

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

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

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

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

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