Changchun Institute of Optics,Fine Mechanics and Physics,CAS
Modeling Polarized Reflectance of Natural Land Surfaces Using Generalized Regression Neural Networks | |
Y. H. He,B. Yang,H. Lin and J. Q. Zhang | |
2020 | |
发表期刊 | Remote Sensing |
卷号 | 12期号:2页码:17 |
摘要 | Retrieval of complete aerosol properties over land through remote sensing requires accurate information about the polarization characteristics of natural land surfaces. In this paper, a new bidirectional polarization distribution function (BPDF) is proposed, using the generalized regression neural network (GRNN). This GRNN-based BPDF model builds a quite accurate nonlinear relationship between polarized reflectance and four input parameters, i.e., Fresnel factor, scattering angle, red, and near-infrared reflectances. It learns fast because only a smoothing parameter needs to be adjusted. The GRNN-based model is compared to six widely used BPDF models (i.e., Nadal-Breon, Maignan, Waquet, Litivinov, Diner, and Xie-Cheng models), using the Polarization and Directionality of the Earth's Reflectance (POLDER) measurements. Experiments suggest that the GRNN-based BPDF model is more accurate than these models. Compared with the best current models, the averaged root-mean-square error (RMSE) from the GRNN-based BPDF model can be reduced by 13.4% by using data collected during the whole year and is lower for 97.4% cases with data collected during every month. Moreover, compared to the widely used BPDF models, the GRNN-based BPDF model provides better performance when the scattering angle is small, and it is the first model that is able to reproduce negative polarized reflectance. The GRNN-based BPDF model is thus useful for the remote sensing of complete aerosol properties over land. |
DOI | 10.3390/rs12020248 |
URL | 查看原文 |
收录类别 | SCI ; EI |
语种 | 英语 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ciomp.ac.cn/handle/181722/64696 |
专题 | 中国科学院长春光学精密机械与物理研究所 |
推荐引用方式 GB/T 7714 | Y. H. He,B. Yang,H. Lin and J. Q. Zhang. Modeling Polarized Reflectance of Natural Land Surfaces Using Generalized Regression Neural Networks[J]. Remote Sensing,2020,12(2):17. |
APA | Y. H. He,B. Yang,H. Lin and J. Q. Zhang.(2020).Modeling Polarized Reflectance of Natural Land Surfaces Using Generalized Regression Neural Networks.Remote Sensing,12(2),17. |
MLA | Y. H. He,B. Yang,H. Lin and J. Q. Zhang."Modeling Polarized Reflectance of Natural Land Surfaces Using Generalized Regression Neural Networks".Remote Sensing 12.2(2020):17. |
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