基于Kalman滤波的卫星光谱成像仪非均匀性场景校正

Scene-Based Method for Nonuniformity Correction of Medium-Resolution Spectrum Imager

为消除在轨卫星光谱成像仪的非均匀性,提出了一种基于Kalman滤波器校正算法。给出了校正算法,建立了均方根误差和列向粗糙度等评价指标。对美国TERRA卫星MODIS仪器图像的校正试验结果表明:用Kalman滤波器校正方法去除遥感图像中非均匀性条带的效果明显,校正后图像的品质显著提高。

To delete the nonuniformity of spectrum imager on-board,a nonuniformity correction algorithm based on Kalman filtering was put forward in this paper.The correction algorithm was presented,and evaluation indexes such as mean square error and row roughness were given out.The image correction of MODIS on US TERRA satellite showed that the algorithm of Kalman filtering was available for destirping imaging spectroradiometer data,which could improve the quality of image obviously.