Lei Han
Orcid: 0000-0002-6141-4595Affiliations:
- Ocean University of China, Faculty of Information Science and Technology, Qingdao, China
According to our database1,
Lei Han
authored at least 31 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
StarNet: A Deep Learning Model for Enhancing Polarimetric Radar Quantitative Precipitation Estimation.
IEEE Trans. Geosci. Remote. Sens., 2024
A Novel CNN-Based Radar Reflectivity Retrieval Network Using Geostationary Satellite Observations.
IEEE Geosci. Remote. Sens. Lett., 2024
2023
IEEE Trans. Geosci. Remote. Sens., 2023
Polarimetric Radar Quantitative Precipitation Estimation Using Deep Convolutional Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2023
Multitask Learning for Precipitation Estimation Using Satellite Observations From the GOES-R Series.
IEEE Geosci. Remote. Sens. Lett., 2023
Physical Analysis of the Impact of Polarization Parameters on Deep-learning Networks for Nowcasting.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
MSF: One Lightweight Deep Learning Nowcasting Method with Attention Mechanism using Dual-Polarization Radar Observations.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Deep Learning for Polarimetric Radar Quantitative Precipitation Estimation: Model Interpretation and Explainability.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
Toward the Predictability of a Radar-Based Nowcasting System for Different Precipitation Systems.
IEEE Geosci. Remote. Sens. Lett., 2022
MCT U-net: A Deep Learning Nowcasting Method Using Dual-polarization Radar Observations.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Application of Segmental-Correction Machine Learning Methods in Radar Quantitative Precipitation Estimation Correction by Rain Gauge.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
A Machine Learning Approach for Convective Initiation Detection Using Multi-source Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Cross Validation of GOES-16 and NOAA Multi-Radar Multi-Sensor (MRMS) QPE over the Continental United States.
Remote. Sens., 2021
Reconstruction of the Radar Reflectivity of Convective Storms Based on Deep Learning and Himawari-8 Observations.
Remote. Sens., 2021
A Multi-Channel 3D Convolutional-Recurrent Neural Network for Convective Storm Nowcasting.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Short-term prediction of precipitation associated with landfalling hurricanes through deep learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
A deep learning system for precipitation estimation using measurements from the Advanced Baseline Imager (ABI) on the GOES-R series.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Convolutional Neural Network for Convective Storm Nowcasting Using 3-D Doppler Weather Radar Data.
IEEE Trans. Geosci. Remote. Sens., 2020
Quantification of Precipitation Using Polarimetric Radar Measurements during Several Typhoon Events in Southern China.
Remote. Sens., 2020
An investigation of a probabilistic nowcast system for dual-polarization radar applications.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Cross validation of GOES-R and NOAA multi-radar multi-sensor (MRMS) QPE over the continental United States.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
A Multi-task Two-stream Spatiotemporal Convolutional Neural Network for Convective Storm Nowcasting.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019
Application of Multi-channel 3D-cube Successive Convolution Network for Convective Storm Nowcasting.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2016