【摘要】 本文根据黄海现场离水辐亮度及遥感反射比，采用４种统计算法估算海水透明度（Ｓｅｃｃｈｉ　Ｄｉｓｃ　Ｄｅｐｔｈ）。前２种算法中海水透明度作为因变量，两不同波段辐亮度之比及两辐亮度之和与第三者之比分别作为自变量，进行一元回归分析，前者相关系数ｒ２为０．９３３５。后者相关系数ｒ２为０．９４８３。第３种算法中，所有波段的遥感反射比做因子分析形成的主因子作为自变量，透明度作为因变量进行多元回归分析，子样全相关系数ｒ２为０．９６４９。第４种算法中，遥感反射比作为自变量，透明度作为因变量进行逐步回归分析，复相关系数ｒ２为０．９８１５。计算结果表明，多元统计分析的估算精度高于一元回归分析。更多还原

【Abstract】 Four statistical methods are performed to estimate the Secchi disc depth of the Yellow Seausing in situ water leaving radiance and remote sensing reflectance data. Regression analysis ofthe water leaving radiance shows that for two-band algorithm ( ), the correlation coefficient r2 is 0.9335. For three-band algorithm ( ), the correlation coefficient r2 is 0.09483. In multivariate regression analysis of remote sensing reflectance, the total correlation coefficient r2 for the principal factor method is 0. 9 649. Thecomplex correlation coefficient r2 for the linear step by step regression analysis is 0. 9815. Theresults indicate that the precision the estimation of multivariate regression analysis is higher thanthose of the two-band and three-band algorithms.更多还原