ADRIANO Bruno ＡｄｒｉａｎｏＢｒｕｎｏ

… Alternative Names

Adriano Bruno アドリアノブルーノ

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Researcher Number	40831889
Other IDs
Affiliation (Current)	2025: 東北大学, 災害科学国際研究所, 准教授
Affiliation (based on the past Project Information) *help	2022 – 2024: 東北大学, 災害科学国際研究所, 准教授 2019 – 2021: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 特別研究員
Review Section/Research Field	Except Principal Investigator Basic Section 25030:Disaster prevention engineering-related
Keywords	Except Principal Investigator 建物被害 / 深層学習 / リモートセンシング / 自然災害 / AI / SAR / 光学センサ / 災害把握 / 観測 / 被害調査 … More / 災害 / 地震 / トルコ / 災害対応 / 土木被害 / 強震動 / 地震学 / 測地 / 地震災害マネジメント / 土木構造物 / 建築物 / 強震観測 / 地震発生機構 / 地殻変動 / 衛星測地 / 地震災害 / 土砂災害警戒区域 / 土砂崩壊量 / 地震観測データ / 検知 / 自動検出 / 数値標高モデル / 震動解析 / シミュレーション / 土砂災害 Less

Comprehensive research on earthquakes and disasters due to the 2023 Southern Turkiye Earthquake
- Principal Investigator
  
  Kusunoki Koichi
- Project Period (FY)
  2022 – 2023
- Research Category
  
  Grant-in-Aid for Special Purposes
- Research Institution
  The University of Tokyo
Development of Damage Estimation Technology Applicable to Various Disasters Using Multimodal Sensing and AI
- Principal Investigator
  
  三浦弘之
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 25030:Disaster prevention engineering-related
- Research Institution
  Hiroshima University
Monitoring and rapid identification of landslide disaster by fusion analysis of sensing and simulation technologies
- Principal Investigator
  
  Miura Hiroyuki
- Project Period (FY)
  2019 – 2021
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 25030:Disaster prevention engineering-related
- Research Institution
  Hiroshima University

All 2024 2023 2022 2021 2020 2019

All Journal Article Presentation

[Journal Article] Evaluation of Deep Learning Models for Building Damage Mapping in Emergency Response Settings2024
- Author(s)
  Wiguna Sesa、Adriano Bruno、Mas Erick、Koshimura Shunichi
- Journal Title
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  
  Volume: 17 Pages: 5651-5667
- DOI
  10.1109/jstars.2024.3367853
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K21372, KAKENHI-PROJECT-23K23009
[Journal Article] Revising the 2007 Peru Earthquake Damage Monitoring Using Machine Learning Models and Satellite Imagery2023
- Author(s)
  Adriano Bruno、Miura Hiroyuki、Liu Wen、Matsuoka Masashi、Portuguez Eduardo、Diaz Miguel、Estrada Miguel
- Journal Title
  
  Journal of Disaster Research
  
  Volume: 18 Issue: 4 Pages: 379-387
- DOI
  10.20965/jdr.2023.p0379
- ISSN
  1881-2473, 1883-8030
- Year and Date
  2023-06-01
- Language
  English
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K23009
[Journal Article] Knowledge distillation based lightweight building damage assessment using satellite imagery of natural disasters2022
- Author(s)
  Bai Yanbing、Su Jinhua、Zou Yulong、Adriano Bruno
- Journal Title
  
  GeoInformatica
  
  Volume: 27 Issue: 2 Pages: 237-261
- DOI
  10.1007/s10707-022-00480-3
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K23009
[Journal Article] Learning from multimodal and multitemporal earth observation data for building damage mapping2021
- Author(s)
  Adriano Bruno、Yokoya Naoto、Xia Junshi、Miura Hiroyuki、Liu Wen、Matsuoka Masashi、Koshimura Shunichi
- Journal Title
  
  ISPRS Journal of Photogrammetry and Remote Sensing
  
  Volume: 175 Pages: 132-143
- DOI
  10.1016/j.isprsjprs.2021.02.016
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20309, KAKENHI-PROJECT-18K18067, KAKENHI-PROJECT-19H02408, KAKENHI-PROJECT-20H02411
[Journal Article] Breaking Limits of Remote Sensing by Deep Learning From Simulated Data for Flood and Debris-Flow Mapping2020
- Author(s)
  Yokoya Naoto、Yamanoi Kazuki、He Wei、Baier Gerald、Adriano Bruno、Miura Hiroyuki、Oishi Satoru
- Journal Title
  
  IEEE Transactions on Geoscience and Remote Sensing
  
  Volume: - Pages: 1-15
- DOI
  10.1109/tgrs.2020.3035469
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K15105, KAKENHI-PROJECT-19K20308, KAKENHI-PROJECT-19H02408, KAKENHI-PROJECT-18K18067
[Journal Article] A Semiautomatic Pixel-Object Method for Detecting Landslides Using Multitemporal ALOS-2 Intensity Images2020
- Author(s)
  Adriano Bruno、Yokoya Naoto、Miura Hiroyuki、Matsuoka Masashi、Koshimura Shunichi
- Journal Title
  
  Remote Sensing
  
  Volume: 12 Issue: 3 Pages: 561-561
- DOI
  10.3390/rs12030561
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H02050, KAKENHI-PROJECT-19H02408
[Journal Article] Robust Nonlocal Low-Rank Sar Stack Despeckling With Application To Change Detection2019
- Author(s)
  Baier Gerald、He Wei、Adriano Bruno、Xia Junshi、Yokoya Naoto
- Journal Title
  
  IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
  
  Volume: - Pages: 5205-5208
- DOI
  10.1109/igarss.2019.8900331
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H02408
[Journal Article] Cross-Domain-Classification of Tsunami Damage Via Data Simulation and Residual-Network-Derived Features From Multi-Source Images2019
- Author(s)
  Adriano Bruno、Yokoya Naoto、Xia Junshi、Baier Gerald、Koshimura Shunichi
- Journal Title
  
  IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
  
  Volume: - Pages: 4947-4950
- DOI
  10.1109/igarss.2019.8899155
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H02408
[Journal Article] Building Damage Mapping Via Transfer Learning2019
- Author(s)
  Xia Junshi、Adriano Bruno、Baier Gerald、Yokoya Naoto
- Journal Title
  
  IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
  
  Volume: - Pages: 4841-4844
- DOI
  10.1109/igarss.2019.8900447
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H02408
[Presentation] Application of a Blobal-based Deep Learning Damage Estimation Using Remote Sensing Data to Unseen Tsunami Events2023
- Author(s)
  Sesa Wiguna, Bruno Adriano, Erick Mas, Shunichi Koshimura
- Organizer
  IUGG 2023 28th General Assembly of the International Union of Geodesy and Geophysics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K23009
[Presentation] Developing a Framework for Rapid Collapsed Building Mapping Using Satellite Imagery and Deep Learning Models2023
- Author(s)
  Bruno Adriano, Hiroyuki Miura, Wen Liu, Masashi Matsuoka, Shunichi Koshimura
- Organizer
  IGARSS 2023 IEEE International Geoscience and Remote Sensing Symposium
- Data Source
  KAKENHI-PROJECT-22K21372
[Presentation] Developing a Deep Learning Super-Resolution Framework for Tsunami Inundation Forecasting2023
- Author(s)
  Bruno Adriano and Shunichi Koshimura
- Organizer
  IUGG 2023 28th General Assembly of the International Union of Geodesy and Geophysics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K23009
[Presentation] Combining Deep Learning and Numerical Simulation to Predict Flood Inundation Depth2023
- Author(s)
  Bruno Adriano, Naoto Yokoya, Kazuki Yamanoi, Satoru Oishi
- Organizer
  International Geoscience and Remote Sensing Symposium (IGARSS)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K23009
[Presentation] Deep Learning of Tsunami Building Damage from Multimodal Physical Parameters for Real-Time Damage Assessment2023
- Author(s)
  Ruben Vescovo, Bruno Adriano, Erick Mas, Shunichi Koshimura
- Organizer
  IUGG 2023 28th General Assembly of the International Union of Geodesy and Geophysics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K23009
[Presentation] Developing a framework for rapid collapsed building mapping using satellite imagery and deep learning models2023
- Author(s)
  Adriano, B., Miura, H., Liu, W., Matsuoka, M., and Koshimura, S.
- Organizer
  International Geoscience and Remote Sensing Symposium (IGARSS)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K23009
[Presentation] Application of a global-based deep learning damage estimation using remote sensing data to unseen tsunami events2023
- Author(s)
  Sesa Wiguna, Bruno Adriano, Erick Mas, Shunichi Koshimura
- Organizer
  the 28Th General Assembly of the International Union of Geodesy and Geophysics
- Data Source
  KAKENHI-PROJECT-22K21372
[Presentation] Disaster Detection from SAR Images with Different Off-Nadir Angles Using Unsupervised Image Translation2022
- Author(s)
  Jian Song, J; Adriano, B; Yokoya, N.
- Organizer
  31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K23009
[Presentation] Transferability assessment of a global model for multi-hazard building damage classification2022
- Author(s)
  Wiguna, S; Adriano, B; Mas, E; Koshimura, S.
- Organizer
  AIWEST-DR 2022 Inclusive and Integrated Disaster Risk Reduction
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K23009
[Presentation] Predicting Flood Inundation Depth Based-on Machine Learning and Numerical Simulation2022
- Author(s)
  Adriano, B; Yokoya, N; Yamanoi, K; Oishi, S.
- Organizer
  31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K23009
[Presentation] OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping2022
- Author(s)
  Xia, J; Yokoya, N; Adriano, B; Broni-Bediako, C.
- Organizer
  IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K23009
[Presentation] Assessing tsunami inundation by coupling numerical simulation and machine learning2022
- Author(s)
  Adriano, B; Mas, E; Koshimura, S.
- Organizer
  AIWEST-DR 2022 Inclusive and Integrated Disaster Risk Reduction
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K23009
[Presentation] Generating multimodal data by fusing physical demand parameters and remote sensing data for tsunami damage estimation2022
- Author(s)
  Vescovo, R; Adriano, B; Mas, E; Koshimura, S.
- Organizer
  AIWEST-DR 2022 Inclusive and Integrated Disaster Risk Reduction
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K23009
[Presentation] Intelligent Learning Using Remote Sensing Dataset from Previous Earthquakes to Assess Building Damage in Futures Events2021
- Author(s)
  B Adriano, N Yokoya, H Miura, M Matsuoka, S Koshimura
- Organizer
  The 17th World Conference on Earthquake Engineering (17WCEE)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H02408
[Presentation] Building Damage Mapping with Self-Positive Unlabeled Learning2021
- Author(s)
  J Xia, N Yokoya, B Adriano
- Organizer
  Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop, NeurIPS
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H02408

1. Miura Hiroyuki (30418678)

# of Collaborated Projects: 2 results

# of Collaborated Products: 3 results
2. 松岡昌志 (80242311)

# of Collaborated Projects: 2 results

# of Collaborated Products: 3 results
3. Kusunoki Koichi (00292748)

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4. 横矢直人 (40710728)

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38. 越村俊一

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39. Xia Junshi

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ADRIANO Bruno Ａｄｒｉａｎｏ Ｂｒｕｎｏ

Adriano Bruno アドリアノ ブルーノ

Research Projects

Research Products

Co-Researchers

Comprehensive research on earthquakes and disasters due to the 2023 Southern Turkiye Earthquake

Principal Investigator

Project Period (FY)

Research Category

Research Institution

Development of Damage Estimation Technology Applicable to Various Disasters Using Multimodal Sensing and AI

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Monitoring and rapid identification of landslide disaster by fusion analysis of sensing and simulation technologies

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Evaluation of Deep Learning Models for Building Damage Mapping in Emergency Response Settings2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Revising the 2007 Peru Earthquake Damage Monitoring Using Machine Learning Models and Satellite Imagery2023

Author(s)

Journal Title

DOI

ISSN

Year and Date

Language

Data Source

[Journal Article] Knowledge distillation based lightweight building damage assessment using satellite imagery of natural disasters2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Learning from multimodal and multitemporal earth observation data for building damage mapping2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Breaking Limits of Remote Sensing by Deep Learning From Simulated Data for Flood and Debris-Flow Mapping2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A Semiautomatic Pixel-Object Method for Detecting Landslides Using Multitemporal ALOS-2 Intensity Images2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Robust Nonlocal Low-Rank Sar Stack Despeckling With Application To Change Detection2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Cross-Domain-Classification of Tsunami Damage Via Data Simulation and Residual-Network-Derived Features From Multi-Source Images2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Building Damage Mapping Via Transfer Learning2019

Author(s)

Journal Title

DOI

Data Source

[Presentation] Application of a Blobal-based Deep Learning Damage Estimation Using Remote Sensing Data to Unseen Tsunami Events2023

Author(s)

Organizer

Data Source

[Presentation] Developing a Framework for Rapid Collapsed Building Mapping Using Satellite Imagery and Deep Learning Models2023

Author(s)

Organizer

Data Source

[Presentation] Developing a Deep Learning Super-Resolution Framework for Tsunami Inundation Forecasting2023

Author(s)

ADRIANO Bruno ＡｄｒｉａｎｏＢｒｕｎｏ

Adriano Bruno アドリアノブルーノ