Bruno Adriano

Orcid: 0000-0002-4318-4319

According to our database1, Bruno Adriano authored at least 29 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Evaluation of Deep Learning Models for Building Damage Mapping in Emergency Response Settings.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023
Knowledge distillation based lightweight building damage assessment using satellite imagery of natural disasters.
GeoInformatica, April, 2023

National high-resolution cropland classification of Japan with agricultural census information and multi-temporal multi-modality datasets.
Int. J. Appl. Earth Obs. Geoinformation, March, 2023

OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Combining Deep Learning and Numerical Simulation to Predict Flood Inundation Depth.
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.
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.
IEEE Trans. Geosci. Remote. Sens., 2022

Self-supervised Learning for Building Damage Assessment from Large-Scale xBD Satellite Imagery Benchmark Datasets.
Proceedings of the Database and Expert Systems Applications, 2022

"Disaster Detection from SAR Images with Different Off-Nadir Angles Using Unsupervised Image Translation.
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.
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.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Building Damage Mapping with Self-PositiveUnlabeled Learning.
CoRR, 2021

2020
A Semiautomatic Pixel-Object Method for Detecting Landslides Using Multitemporal ALOS-2 Intensity Images.
Remote. Sens., 2020

Learning from Multimodal and Multitemporal Earth Observation Data for Building Damage Mapping.
CoRR, 2020

Breaking the Limits of Remote Sensing by Simulation and Deep Learning for Flood and Debris Flow Mapping.
CoRR, 2020

Damage Characterization in Urban Environments from Multitemporal Remote Sensing Datasets Built from Previous Events.
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.
Remote. Sens., 2019

Building Damage Mapping Via Transfer Learning.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Robust Nonlocal Low-Rank Sar Stack Despeckling With Application To Change Detection.
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.
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.
Remote. Sens., 2018

Sequential SAR Coherence Method for the Monitoring of Buildings in Sarpole-Zahab, Iran.
Remote. Sens., 2018

New Insights into Multiclass Damage Classification of Tsunami-Induced Building Damage from SAR Images.
Remote. Sens., 2018

A Framework of Rapid Regional Tsunami Damage Recognition From Post-event TerraSAR-X Imagery Using Deep Neural Networks.
IEEE Geosci. Remote. Sens. Lett., 2018

Damage Mapping After the 2017 Puebla Earthquake in Mexico Using High-Resolution Alos2 Palsar2 Data.
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.
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.
Proceedings of the 4th International Conference On Simulation And Modeling Methodologies, 2014

Damage detection due to the typhoon haiyan from high-resolution SAR images.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Extraction of damaged areas due to the 2013 Haiyan Typhoon using ASTER data.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014


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