基于动态滤波重采样的星载微波辐射计观测亮温方法

摘要

The brightness temperature obseration using spaceborne microwave radiometers was studied,and a new method for brightness temperature obervation using the dynamic resampling based on the Backus-Gilbert (BG) method was developed to solve the commonly adopted steady resampling method's problem of no observation of geometrical changing.This method considers the observation of geometry changing in both the north-south direction and the east-west direction,and uses a linear interpolation method to realize the filter template's real-time updating to realized the dynamic resampling.Its simulating test and the real experiment using the data from an advanced microwave scanning radiometer for earth obseration (AMER-E) were conducted,and the results indicate that this method's fitting error is less than the common steady resampling method and has a higher computational efficiency as well as a good potential for applications.%研究了星载微波计的亮温观测,针对目前常用的采用重采样的固定滤波方法不考虑观测几何变化的不足,开发了一种采用基于Backus-Gilbert (BG)方法的动态滤波重采样的亮温观测方法,该方法从卫星观测方式入手,考虑了观测几何沿经线方向和沿纬线方向的变化,采用线性插值的方法对滤波模板进行实时更新,实现了动态滤波重采样的目的.对该方法并进行了仿真试验和基于对地观测的先进扫描微波辐射计(AMSR-E)观测资料的真实数据试验,试验结果表明,这种方法的匹配误差小于固定滤波方法且具有较高的计算效率,具有良好的业务化应用潜力.