【摘要】 提出了一种基于二维GFVC卡尔曼滤波的遥感图像信噪比分析方法 ,分析表明 ,该方法与传统的二维随机信号估计方法相比 ,在算法复杂度和实时性上均有明显的优势 ,并已成功应用于航天遥感器实时在轨评价系统更多还原

【Abstract】 This article presents the analysis method for SNR of remote sense images based on 2D GFVC Kalman filtering. It’s proved that, compared with the traditional method for estimation of 2D random signals, this method has greater privileges in arithmetic complexity and real time procession. It has been applied in real time on orbit estimation system for the space remote sense instruments successfully.更多还原