为了结合高光谱分辨率和高空间分辨率卫星探测资料各自的优点,提高卫星探测资料的使用率,采用小波变换算法,将AIRS和MODIS数据进行融合。基于融合的数据,采用物理反演法,反演了卷云的光学厚度、粒子尺度,并将反演结果与AIRS、MODIS数据进行对照分析,分析结果表明融合产品反演结果比AIRS反演结果更加突出细节信息,且吻合MODIS标准产品。验证了小波变换算法融合高光谱和高空间分辨率资料的可行性。

In order to combine the advantages of high spectral resolution and high spatial resolution satellite detection data, and to improve the utilization rate of satellite detection data, the wavelet transform is used to fuse AIRS and MODIS data. Based on the fusion data, physical inversion method is applied to retrieve the optical thickness and particle size of cirrus clouds. The inversion results are compared with AIRS and MODIS data. The analysis result shows that the fusion product inversion results are more prominent in detail than AIRS inversion results and are consistent with MODIS standard products. The feasibility of the fusion of high spectral and high spatial resolution data by wavelet transform algorithm is verified.