CONFERENCE PROCEEDINGS
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Prof. Ning Li
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Author
Publications (5)
Proceedings Article | 19 January 2024 Paper
Winter wheat phenology classification using stacking ensemble learning algorithm based on Sentinel-1A SAR images
Haoxin Duan, Huijin Yang, Jianhui Zhao, Ning Li
Proceedings Volume 12980, 1298010 (2024) https://doi.org/10.1117/12.3020989
Proceedings Article | 15 November 2023 Paper
Design and implementation of spaceborne SAR radio frequency interference detection and suppression system
Xingwang Hu, Hengrui Zhang, Ning Li, Zhengwei Guo
Proceedings Volume 12815, 128152D (2023) https://doi.org/10.1117/12.3010412
KEYWORDS: Synthetic aperture radar, Electromagnetic coupling, Design and modelling, Image processing, Signal processing, Data processing, Pulse signals, Matrices, Signal detection, Satellites
Proceedings Article | 15 November 2023 Paper
Regional winter wheat yield estimation based on CASA model and improved harvest index using remote sensing images
Qian Li, Jianhui Zhao, Huijin Yang, Ning Li
Proceedings Volume 12815, 128150Q (2023) https://doi.org/10.1117/12.3010380
KEYWORDS: Data modeling, Yield improvement, Remote sensing, Vegetation, Agriculture, Solar radiation models, Solar radiation, Atmospheric modeling, Process modeling, Meteorology
Proceedings Article | 15 November 2023 Paper
SAR pulse radio frequency interference suppression based on modified eigen subspace projection
Mingyue Liu, Gaofeng Shu, Ning Li
Proceedings Volume 12815, 128151F (2023) https://doi.org/10.1117/12.3010351
KEYWORDS: Synthetic aperture radar, Pulse signals, Electromagnetic coupling, Signal detection, Tunable filters, Frequency modulation, Signal processing
Proceedings Article | 15 November 2023 Paper
Enhancing surface soil moisture estimation in agricultural fields: a combined approach of improved WCM and CNN
Ran Wang, Jianhui Zhao, Ning Li
Proceedings Volume 12815, 128151Q (2023) https://doi.org/10.1117/12.3010239
KEYWORDS: Data modeling, Vegetation, Agriculture, Backscatter, Soil moisture, Scattering, Deep learning, Simulations, Remote sensing, Neural networks
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