针对静止轨道干涉式毫米波大气探测仪地球圆盘观测视场内的亮温成像,提出了基于差分反演的测量数据预处理方法,以降低伪极逆傅里叶变换成像算法的误差.结合静止轨道干涉式毫米波大气探测仪的仿真系统和观测目标建模,对该数据预处理方法进行了验证,仿真结果表明,使用基于差分反演的数据预处理方法后,重建亮温的误差能降低约40%~70%,由此说明,基于差分反演的数据预处理方法能显著降低伪极逆傅里叶变换成像算法的误差,改善成像质量.%For brightness temperature image retrieval in the full earth disk field of view of geostationary interferometric microwave sounder(GIMS),a preprocessing method on measurement based on difference inversion has been proposed to reduce imaging error inherent in pseudo-polar inverse fourier transform. The proposed preprocessing method has been validated through GIMS simulation system and observation target modeling.Simulation results demonstrate that error in retrieved image can be reduced about 40%~70% after applying the preprocessing method based on difference inversion. This indicate the capability of the proposed method in reducing imaging error inherent in pseudo-polar inverse fourier transform retrieval algorithm and improving imaging quality.
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