| 利用PRESS准则和岭回归方法建立大气遥感最优反演方程 |
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| 引用本文： | 王振会,丁裕国.利用PRESS准则和岭回归方法建立大气遥感最优反演方程[J].南京气象学院学报,1994,17(1):101-109. |
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| 作者姓名： | 王振会 丁裕国 |
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| 作者单位： | 南京气象学院大气物理系，南京气象学院应用气象系，湖北省宜昌市气象局 |
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| 摘 要： | 在文献［１］的基础上，首次引用近代回归分析中ＰＲＥＳＳ准则最优于集法，建立大气温湿遥感最优反演方程，并用岭回归分析评价不同准则或方法所得到的最优子集，同时用实际资料进行了验证。
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| 关 键 词： | 近代回归分析 反演方程 大气 遥感 |
ESTABLISHMENT OF THE OPTIMUM RETRIVAL EQUATION FOR ATMOSPHERIC REMOTE-SENSING BASED ON PRESS CRITERION AND RIDGE REGRESSION |
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| Wang Zhenhui, Eing Yuguo, Zhou Shengpeng.ESTABLISHMENT OF THE OPTIMUM RETRIVAL EQUATION FOR ATMOSPHERIC REMOTE-SENSING BASED ON PRESS CRITERION AND RIDGE REGRESSION[J].Journal of Nanjing Institute of Meteorology,1994,17(1):101-109. |
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| Authors: | Wang Zhenhui Eing Yuguo Zhou Shengpeng |
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| Abstract: | On the basis of Ref.1] .has first introduced the PRESS criterion for the optimun subset in modern regression analysis to set up the optimum retrieval equation for atmospheric remote sensings. Furthermore the ridge regression analysis is used in the assessment of the optimum subsets obtained in terms of different different criteria of methods. And the results are veri-fied by actual data. |
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| Keywords: | modern regression analysis atmospheric remote sensing retrieval equation |
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