Bruno Adriano

38 papers A 1C 14Journal 20Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Accurate flood extent mapping in suburban areas using a single SAR image: FFT-based artifact removal approach.
Int. J. Appl. Earth Obs. Geoinformation
Ryohei Kametaka, Bruno Adriano, Erick Mas, Shunichi Koshimura
2025 J jnl
Evaluation of Simulated SAR Images for Building Damage Classification.
IEEE Geosci. Remote. Sens. Lett.
Yudai Ezaki, Chia Yee Ho, Bruno Adriano, Erick Mas, Shunichi Koshimura
2024 C conf
Assessment of Deep Learning Models Trained Using Global Remote Sensing Imagery in Real-Context Emergency Response.
IGARSS
Sesa Wiguna, Bruno Adriano, Erick Mas, Shunichi Koshimura
2024 J jnl
Building Damage Mapping of the 2024 Noto Peninsula Earthquake, Japan, Using Semi-Supervised Learning and VHR Optical Imagery.
IEEE Geosci. Remote. Sens. Lett.
Sesa Wiguna, Bruno Adriano, Ruben Vescovo, Erick Mas, Ayumu Mizutani, Shunichi Koshimura
2024 C conf
Comparative Analysis of Detailed Features in 3D Models for SAR Simulation.
IGARSS
Chia Yee Ho, Erick Mas, Bruno Adriano, Shunichi Koshimura
2024 J jnl
Evaluation of Deep Learning Models for Building Damage Mapping in Emergency Response Settings.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Sesa Wiguna, Bruno Adriano, Erick Mas, Shunichi Koshimura
2024 J jnl
Exploring the Feasibility of Ray Tracing SAR Simulation on Building Damage Assessment.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Chia Yee Ho, Erick Mas, Bruno Adriano, Shunichi Koshimura
2024 C conf
Urban Vulnerability Analysis in the Tributary Basin of the Rimac River, Peru Using High-Resolution Remote Sensing Imagery.
IGARSS
Bruno Adriano, Luis Moya, Erick Mas, Hiroyuki Miura, Masashi Matsuoka, Shunichi Koshimura
2023 C conf
Combining Deep Learning and Numerical Simulation to Predict Flood Inundation Depth.
IGARSS
Bruno Adriano, Naoto Yokoya, Kazuki Yamanoi, Satoru Oishi
2023 C conf
Developing a Framework for Rapid Collapsed Building Mapping Using Satellite Imagery and Deep Learning Models.
IGARSS
Bruno Adriano, Hiroyuki Miura, Wen Liu, Masashi Matsuoka, Shunichi Koshimura
2023 J jnl
Knowledge distillation based lightweight building damage assessment using satellite imagery of natural disasters.
GeoInformatica
Yanbing Bai, Jinhua Su, Yulong Zou, Bruno Adriano
2023 J jnl
National high-resolution cropland classification of Japan with agricultural census information and multi-temporal multi-modality datasets.
Int. J. Appl. Earth Obs. Geoinformation
Junshi Xia, Naoto Yokoya, Bruno Adriano, Keiichiro Kanemoto
2023 A conf
OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping.
WACV
Junshi Xia, Naoto Yokoya, Bruno Adriano, Clifford Broni-Bediako
2022 — conf
"Disaster Detection from SAR Images with Different Off-Nadir Angles Using Unsupervised Image Translation.
CDCEO@IJCAI
Jian Song, Bruno Adriano, Naoto Yokoya
2022 J jnl
Breaking Limits of Remote Sensing by Deep Learning From Simulated Data for Flood and Debris-Flow Mapping.
IEEE Trans. Geosci. Remote. Sens.
Naoto Yokoya, Kazuki Yamanoi, Wei He, Gerald Baier, Bruno Adriano, Hiroyuki Miura, Satoru Oishi
2022 J jnl
OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping.
CoRR
Junshi Xia, Naoto Yokoya, Bruno Adriano, Clifford Broni-Bediako
2022 — conf
Predicting Flood Inundation Depth Based-on Machine Learning and Numerical Simulation.
CDCEO@IJCAI
Bruno Adriano, Naoto Yokoya, Satoru Oishi
2022 J jnl
Self-Supervised Learning for Building Damage Assessment from Large-scale xBD Satellite Imagery Benchmark Datasets.
CoRR
Zaishuo Xia, Zelin Li, Yanbing Bai, Jinze Yu, Bruno Adriano
2022 — conf
Self-supervised Learning for Building Damage Assessment from Large-Scale xBD Satellite Imagery Benchmark Datasets.
DEXA (1)
Zaishuo Xia, Zelin Li, Yanbing Bai, Jinze Yu, Bruno Adriano
2021 J jnl
A Benchmark High-Resolution GaoFen-3 SAR Dataset for Building Semantic Segmentation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Junshi Xia, Naoto Yokoya, Bruno Adriano, Lianchong Zhang, Guoqing Li, Zhigang Wang
2021 J jnl
Building Damage Mapping with Self-PositiveUnlabeled Learning.
CoRR
Junshi Xia, Naoto Yokoya, Bruno Adriano
2020 J jnl
A Semiautomatic Pixel-Object Method for Detecting Landslides Using Multitemporal ALOS-2 Intensity Images.
Remote. Sens.
Bruno Adriano, Naoto Yokoya, Hiroyuki Miura, Masashi Matsuoka, Shunichi Koshimura
2020 J jnl
Breaking the Limits of Remote Sensing by Simulation and Deep Learning for Flood and Debris Flow Mapping.
CoRR
Naoto Yokoya, Kazuki Yamanoi, Wei He, Gerald Baier, Bruno Adriano, Hiroyuki Miura, Satoru Oishi
2020 C conf
Damage Characterization in Urban Environments from Multitemporal Remote Sensing Datasets Built from Previous Events.
IGARSS
Bruno Adriano, Junshi Xia, Naoto Yokoya, Hiroyuki Miura, Masashi Matsuoka, Shunichi Koshimura
2020 J jnl
Learning from Multimodal and Multitemporal Earth Observation Data for Building Damage Mapping.
CoRR
Bruno Adriano, Naoto Yokoya, Junshi Xia, Hiroyuki Miura, Wen Liu, Masashi Matsuoka, Shunichi Koshimura
2019 C conf
Building Damage Mapping Via Transfer Learning.
IGARSS
Junshi Xia, Bruno Adriano, Gerald Baier, Naoto Yokoya
2019 C conf
Cross-Domain-Classification of Tsunami Damage Via Data Simulation and Residual-Network-Derived Features From Multi-Source Images.
IGARSS
Bruno Adriano, Naoto Yokoya, Junshi Xia, Gerald Baier, Shunichi Koshimura
2019 J jnl
Multi-Source Data Fusion Based on Ensemble Learning for Rapid Building Damage Mapping during the 2018 Sulawesi Earthquake and Tsunami in Palu, Indonesia.
Remote. Sens.
Bruno Adriano, Junshi Xia, Gerald Baier, Naoto Yokoya, Shunichi Koshimura
2019 C conf
Robust Nonlocal Low-Rank Sar Stack Despeckling With Application To Change Detection.
IGARSS
Gerald Baier, Wei He, Bruno Adriano, Junshi Xia, Naoto Yokoya
2018 J jnl
A Framework of Rapid Regional Tsunami Damage Recognition From Post-event TerraSAR-X Imagery Using Deep Neural Networks.
IEEE Geosci. Remote. Sens. Lett.
Yanbing Bai, Chang Gao, Sameer Singh, Magaly Koch, Bruno Adriano, Erick Mas, Shunichi Koshimura
2018 C conf
Damage Mapping After the 2017 Puebla Earthquake in Mexico Using High-Resolution Alos2 Palsar2 Data.
IGARSS
Bruno Adriano, Shunichi Koshimura, Sadra Karimzadeh, Masashi Matsuoka, Magaly Koch
2018 J jnl
New Insights into Multiclass Damage Classification of Tsunami-Induced Building Damage from SAR Images.
Remote. Sens.
Yukio Endo, Bruno Adriano, Erick Mas, Shunichi Koshimura
2018 J jnl
Novel Unsupervised Classification of Collapsed Buildings Using Satellite Imagery, Hazard Scenarios and Fragility Functions.
Remote. Sens.
Luis Moya, Luis Rafael Marval Pérez, Erick Mas, Bruno Adriano, Shunichi Koshimura, Fumio Yamazaki
2018 J jnl
Sequential SAR Coherence Method for the Monitoring of Buildings in Sarpole-Zahab, Iran.
Remote. Sens.
Sadra Karimzadeh, Masashi Matsuoka, Masakatsu Miyajima, Bruno Adriano, Abdolhossein Fallahi, Jafar Karashi
2015 C conf
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.
IGARSS
Bruno Adriano, Erick Mas, Shunichi Koshimura, Hideomi Gokon, Wen Liu, Masashi Matsuoka
2014 C conf
Damage detection due to the typhoon haiyan from high-resolution SAR images.
IGARSS
Wen Liu, Masashi Matsuoka, Bruno Adriano, Erick Mas, Shunichi Koshimura
2014 C conf
Extraction of damaged areas due to the 2013 Haiyan Typhoon using ASTER data.
IGARSS
Bruno Adriano, Hideomi Gokon, Erick Mas, Shunichi Koshimura, Wen Liu, Masashi Matsuoka
2014 C conf
Tsunami evacuation simulation - case studies for tsunami mitigation at Indonesia, Thailand and Japan.
SIMULTECH
Erick Mas, Shunichi Koshimura, Fumihiko Imamura, Anawat Suppasri, Abdul Muhari, Bruno Adriano