Destriping CMODIS Based on FIR Method
中分辨率遥感图像条带噪声的去除

As the first Chinese moderate resolution spectrometer in SZ 3 spacecraft, CMODIS contain abundant spectral information with 34 channels in the range from visible to infrared. But sensor to sensor variation within instruments often leads to striping in many channels of CMODIS. The striping noise can distractingly and obstructively affect the interpretation and application of CMODIS data. This paper discusses the methods previously used in striping removal of TM,MSS ,MOS B and presents a new FIR method based on FFT transformation. The Application results of the method to geometrically corrected CMODIS data and non geometrically corrected CMODIS data and quantitative analysis of the results show that the new method can achieve a better result than the previously used methods mentioned in this paper in removing striping noise of CMODIS data and preserve the spectral characteristic of original image .The new method is also applicable in striping removal of other multisensor remote Sensing data.