L／S波段微波遥感海水盐度和温度的反演算法

Retrieval algorithm for seawater＇s salinity and temperature by L and S band microwave remote sensing

对基于多元线性回归构造的非线性多项式形式的L／S双波段微波遥感海水盐度和温度反演算法进行了误差分析，并优化了多项式的系数。进一步提出了一种半解析的反演算法，该算法基于海面微波发射理论模型，构建包含盐度和温度两个反演目标的二元非线性方程组，利用数值解法直接求解该方程组，以反演盐度和温度。该反演算法较以往的算法具有更高的反演精度。

After analyzing the errors of the retrieval algorithms for seawater＇ s salinity and temperature remote sensing in term of the nonlinear polynomials of L and S band microwave brightness temperature obtained by multiple linear regressions, the parameters of the polynomials were optimized. Then a semi-analysis retrieval algorithm was given, which setups a set of binary nonlinear functions of salinity and temperature based on the sea surface microwave radiation theory and retrieves salinity and temperature by numerically resolving this set of functions. The retrieval algorithm proved to have a higher accuracy than that of the previous algorithms based on regression.