Yanbing Bai
Orcid: 0000-0001-5223-9425
According to our database1,
Yanbing Bai
authored at least 20 papers
between 2013 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
Knowledge distillation based lightweight building damage assessment using satellite imagery of natural disasters.
GeoInformatica, April, 2023
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
Proceedings of the Database and Expert Systems Applications, 2022
Optimizing the Post-disaster Resource Allocation with Q-Learning: Demonstration of 2021 China Flood.
Proceedings of the Database and Expert Systems Applications, 2022
Proceedings of the Database and Expert Systems Applications, 2022
2021
Return Period Evaluation of the Largest Possible Earthquake Magnitudes in Mainland China Based on Extreme Value Theory.
Sensors, 2021
Erratum: Liu et al. Nightlight as a Proxy of Economic Indicators: Fine-Grained GDP Inference around Chinese Mainland via Attention-Augmented CNN from Daytime Satellite Imagery. Remote Sens. 2021, 13, 2067.
Remote. Sens., 2021
Nightlight as a Proxy of Economic Indicators: Fine-Grained GDP Inference Around Mainland China via Attention-Augmented CNN from Daytime Satellite Imagery.
Remote. Sens., 2021
Enhancement of Detecting Permanent Water and Temporary Water in Flood Disasters by Fusing Sentinel-1 and Sentinel-2 Imagery Using Deep Learning Algorithms: Demonstration of Sen1Floods11 Benchmark Datasets.
Remote. Sens., 2021
2020
Technical Solution Discussion for Key Challenges of Operational Convolutional Neural Network-Based Building-Damage Assessment from Satellite Imagery: Perspective from Benchmark xBD Dataset.
Remote. Sens., 2020
Pyramid Pooling Module-Based Semi-Siamese Network: A Benchmark Model for Assessing Building Damage from xBD Satellite Imagery Datasets.
Remote. Sens., 2020
2018
Towards Operational Satellite-Based Damage-Mapping Using U-Net Convolutional Network: A Case Study of 2011 Tohoku Earthquake-Tsunami.
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
2014
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Passive super-low frequency remote sensing technique for monitoring coal-bed methane reservoirs.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2013
Coal-bed Methane reservoir identification using the natural source Super-Low Frequency remote sensing.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
Integrating remote sensing and Super-Low Frequency electromagnetic technology in exploration of buried faults.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
A method on Coalbed Methane gas content monitoring based on super-low frequency electromagnetic technology.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
The quantitative prediction of Coalbed Methane gas content based on super-low frequency electromagnetic technology.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013