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Qiangqiang Yuan

Showing results (1-10 of 29) with videos related to

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Environmental Pollution (Barking, Essex : 1987)|April 28, 2022
Ultrahigh-resolution PM<sub>2.5</sub> estimation from top-of-atmosphere reflectance with machine learning: Theories, methods, and applicationsQianqian Yang, Qiangqiang Yuan, Tongwen Li
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|March 14, 2013
Regional spatially adaptive total variation super-resolution with spatial information filtering and clusteringQiangqiang Yuan, Liangpei Zhang, Huanfeng Shen
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|July 10, 2010
Adaptive multiple-frame image super-resolution based on U-curveQiangqiang Yuan, Liangpei Zhang, Huanfeng Shen, et al.
Chemosphere|May 6, 2022
Estimation of high spatial resolution ground-level ozone concentrations based on Landsat 8 TIR bands with deep forest modelMuyu Li, Qianqian Yang, Qiangqiang Yuan, et al.
International Journal of Environmental Research and Public Health|April 3, 2019
Spatio⁻Temporal Relationship and Evolvement of Socioeconomic Factors and PM<sub>2.5</sub> in China During 1998⁻2016Yi Yang, Jie Li, Guobin Zhu, et al.
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|March 9, 2011
Multiframe image super-resolution adapted with local spatial informationLiangpei Zhang, Qiangqiang Yuan, Huanfeng Shen, et al.
The Science of the Total Environment|October 20, 2022
A new perspective to satellite-based retrieval of ground-level air pollution: Simultaneous estimation of multiple pollutants based on physics-informed multi-task learningQianqian Yang, Qiangqiang Yuan, Meng Gao, et al.
Environmental Pollution (Barking, Essex : 1987)|March 9, 2020
Investigation of the spatially varying relationships of PM<sub>2.5</sub> with meteorology, topography, and emissions over China in 2015 by using modified geographically weighted regressionQianqian Yang, Qiangqiang Yuan, Linwei Yue, et al.
IEEE Transactions on Neural Networks and Learning Systems|February 18, 2021
Spectral Response Function-Guided Deep Optimization-Driven Network for Spectral Super-ResolutionJiang He, Jie Li, Qiangqiang Yuan, et al.
The Science of the Total Environment|June 26, 2021
Full-coverage spatiotemporal mapping of ambient PM<sub>2.5</sub> and PM<sub>10</sub> over China from Sentinel-5P and assimilated datasets: Considering the precursors and chemical compositionsYuan Wang, Qiangqiang Yuan, Tongwen Li, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

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Pageof 3
Environmental Pollution (Barking, Essex : 1987)|April 28, 2022
Ultrahigh-resolution PM<sub>2.5</sub> estimation from top-of-atmosphere reflectance with machine learning: Theories, methods, and applicationsQianqian Yang, Qiangqiang Yuan, Tongwen Li
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|March 14, 2013
Regional spatially adaptive total variation super-resolution with spatial information filtering and clusteringQiangqiang Yuan, Liangpei Zhang, Huanfeng Shen
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|July 10, 2010
Adaptive multiple-frame image super-resolution based on U-curveQiangqiang Yuan, Liangpei Zhang, Huanfeng Shen, et al.
Chemosphere|May 6, 2022
Estimation of high spatial resolution ground-level ozone concentrations based on Landsat 8 TIR bands with deep forest modelMuyu Li, Qianqian Yang, Qiangqiang Yuan, et al.
International Journal of Environmental Research and Public Health|April 3, 2019
Spatio⁻Temporal Relationship and Evolvement of Socioeconomic Factors and PM<sub>2.5</sub> in China During 1998⁻2016Yi Yang, Jie Li, Guobin Zhu, et al.
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|March 9, 2011
Multiframe image super-resolution adapted with local spatial informationLiangpei Zhang, Qiangqiang Yuan, Huanfeng Shen, et al.
The Science of the Total Environment|October 20, 2022
A new perspective to satellite-based retrieval of ground-level air pollution: Simultaneous estimation of multiple pollutants based on physics-informed multi-task learningQianqian Yang, Qiangqiang Yuan, Meng Gao, et al.
Environmental Pollution (Barking, Essex : 1987)|March 9, 2020
Investigation of the spatially varying relationships of PM<sub>2.5</sub> with meteorology, topography, and emissions over China in 2015 by using modified geographically weighted regressionQianqian Yang, Qiangqiang Yuan, Linwei Yue, et al.
IEEE Transactions on Neural Networks and Learning Systems|February 18, 2021
Spectral Response Function-Guided Deep Optimization-Driven Network for Spectral Super-ResolutionJiang He, Jie Li, Qiangqiang Yuan, et al.
The Science of the Total Environment|June 26, 2021
Full-coverage spatiotemporal mapping of ambient PM<sub>2.5</sub> and PM<sub>10</sub> over China from Sentinel-5P and assimilated datasets: Considering the precursors and chemical compositionsYuan Wang, Qiangqiang Yuan, Tongwen Li, et al.
Pageof 3