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42171342

Funded outputs count: 10
Funder award ID: 42171342
OpenAlex ID: G3402699255
Quantitative Remote Sensing Supporting Deep Learning Target Identification: A Case Study of Wind Turbines
2025 · Xingfeng Chen, Yunli Zhang, et al. · Remote Sensing · 3
A Neural Network Method for Ozone Retrieval Using Himawari-8/AHI Geo-Satellite Observations
2025 · Xingfeng Chen, Yichu Yang, et al. · IEEE Transactions on Geoscience and Remote Sensing · 1
FY-4A/AGRI Aerosol Optical Depth Retrieval Capability Test and Validation Based on NNAeroG
2022 · Haonan Ding, Limin Zhao, et al. · Remote Sensing · 9
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Cloud Occlusion Probability Calculation Jointly Using Himawari-8 and CloudSat Satellite Data
2022 · Xingfeng Chen, Limin Zhao, et al. · Atmosphere · 1
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Fast Positioning Model and Systematic Error Calibration of Chang’E-3 Obstacle Avoidance Lidar for Soft Landing
2022 · Donghong Wang, Xingfeng Chen, et al. · Sensors · 3
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Autonomous Mission Planning Method for Optical Imaging Satellites Based on Real-Time Cloud Cover Information
2022 · Zhiliang Li, Limin Zhao, et al. · Remote Sensing · 12
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QUantitative and Automatic Atmospheric Correction (QUAAC): Application and Validation
2022 · Shumin Liu, Yunli Zhang, et al. · Sensors · 5
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Multi-Scale Ship Detection Algorithm Based on a Lightweight Neural Network for Spaceborne SAR Images
2022 · Shanwei Liu, Weimin Kong, et al. · Remote Sensing · 84
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Neural Network AEROsol Retrieval for Geostationary Satellite (NNAeroG) Based on Temporal, Spatial and Spectral Measurements
2022 · Xingfeng Chen, Fengjie Zheng, et al. · Remote Sensing · 23
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Review of machine learning methods for aerosol quantitative remote sensing
2021 · CHEN Xingfeng, ZHENG Fengjie, et al. · National Remote Sensing Bulletin · 6
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