Bruno Adriano

According to our database, Bruno Adriano authored at least 34 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

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

Assessment of Deep Learning Models Trained Using Global Remote Sensing Imagery in Real-Context Emergency Response.

Sesa Wiguna, Bruno Adriano, Erick Mas, Shunichi Koshimura

Proceedings of the IGARSS 2024, 2024

Comparative Analysis of Detailed Features in 3D Models for SAR Simulation.

Chia Yee Ho, Erick Mas, Bruno Adriano, Shunichi Koshimura

Proceedings of the IGARSS 2024, 2024

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

Proceedings of the IGARSS 2024, 2024

2023

Knowledge distillation based lightweight building damage assessment using satellite imagery of natural disasters.

Yanbing Bai, Jinhua Su, Yulong Zou, Bruno Adriano

GeoInformatica, April, 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, March, 2023

OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping.

Junshi Xia, Naoto Yokoya, Bruno Adriano, Clifford Broni-Bediako

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Combining Deep Learning and Numerical Simulation to Predict Flood Inundation Depth.

Bruno Adriano, Naoto Yokoya, Kazuki Yamanoi, Satoru Oishi

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Developing a Framework for Rapid Collapsed Building Mapping Using Satellite Imagery and Deep Learning Models.

Bruno Adriano, Hiroyuki Miura, Wen Liu, Masashi Matsuoka, Shunichi Koshimura

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Breaking Limits of Remote Sensing by Deep Learning From Simulated Data for Flood and Debris-Flow Mapping.

Naoto Yokoya, Kazuki Yamanoi, Wei He, Gerald Baier, Bruno Adriano, Hiroyuki Miura, Satoru Oishi

IEEE Trans. Geosci. Remote. Sens., 2022

Self-supervised Learning for Building Damage Assessment from Large-Scale xBD Satellite Imagery Benchmark Datasets.

Zaishuo Xia, Zelin Li, Yanbing Bai, Jinze Yu, Bruno Adriano

Proceedings of the Database and Expert Systems Applications, 2022

"Disaster Detection from SAR Images with Different Off-Nadir Angles Using Unsupervised Image Translation.

Jian Song, Bruno Adriano, Naoto Yokoya

Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

Predicting Flood Inundation Depth Based-on Machine Learning and Numerical Simulation.

Bruno Adriano, Naoto Yokoya, Satoru Oishi

Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

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

Building Damage Mapping with Self-PositiveUnlabeled Learning.

Junshi Xia, Naoto Yokoya, Bruno Adriano

CoRR, 2021

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

Learning from Multimodal and Multitemporal Earth Observation Data for Building Damage Mapping.

Bruno Adriano, Naoto Yokoya, Junshi Xia, Hiroyuki Miura, Wen Liu, Masashi Matsuoka, Shunichi Koshimura

CoRR, 2020

Breaking the Limits of Remote Sensing by Simulation and Deep Learning for Flood and Debris Flow Mapping.

Naoto Yokoya, Kazuki Yamanoi, Wei He, Gerald Baier, Bruno Adriano, Hiroyuki Miura, Satoru Oishi

CoRR, 2020

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

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

Building Damage Mapping Via Transfer Learning.

Junshi Xia, Bruno Adriano, Gerald Baier, Naoto Yokoya

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Robust Nonlocal Low-Rank Sar Stack Despeckling With Application To Change Detection.

Gerald Baier, Wei He, Bruno Adriano, Junshi Xia, Naoto Yokoya

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

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

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

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

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

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

A Framework of Rapid Regional Tsunami Damage Recognition From Post-event TerraSAR-X Imagery Using Deep Neural Networks.

Yanbing Bai, Chang Gao, Sameer Singh, Magaly Koch, Bruno Adriano, Erick Mas, Shunichi Koshimura

IEEE Geosci. Remote. Sens. Lett., 2018

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

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2015

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, Masashi Matsuoka

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

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

Proceedings of the 4th International Conference On Simulation And Modeling Methodologies, 2014

Damage detection due to the typhoon haiyan from high-resolution SAR images.

Wen Liu, Masashi Matsuoka, Bruno Adriano, Erick Mas, Shunichi Koshimura

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Extraction of damaged areas due to the 2013 Haiyan Typhoon using ASTER data.

Bruno Adriano, Hideomi Gokon, Erick Mas, Shunichi Koshimura, Wen Liu, Masashi Matsuoka

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014