首页> 中文期刊>传感技术学报 >FY-2自旋稳定气象卫星动态月球观测与图像配准

FY-2自旋稳定气象卫星动态月球观测与图像配准

     

摘要

为满足基于月球辐射校正的内黑体绝对辐射定标对月球观测数据的需求,设计了FY-2卫星的动态月球观测模式,在新的工作模式下观测到了高质量的月球图像.为获取高质量的月球图像,根据FY-2卫星自旋稳定平台的特点,以及灵活的观域调整和区域扫描功能,重新设计了卫星工作时序,并更改了卫星地面控制系统软件,在卫星常规20° ×20°视场外,拓展出了10°×20°的月球观测区域,实现了月球的动态追踪观测,实践证明,观测模型精度优于30 s;根据月球图像特点,设计了伪目标剔除算法,通过对目标位置、形态特性等条件自动判断实现了从卫星云图中自动、准确提取出月球图像的功能;根据月球在卫星视场里的动目标特性,以FY-2卫星自旋扫描成像的工作原理和具体的性能参数,计算得到了动目标的相对角速度,据此发展了动目标配准算法、消除了月球运动造成的变形和位移,实现了月球图像配准.工作获得了常规观测3倍数量的月球图像,有力地保障了FY-2卫星辐射定标性能,促进了遥感数据定量化应用.%Calibration of inner blackbody corrected by lunar emission(CIBLE)is developed,the moon emission is stability and is used to correct system error,so the moon image is very important to CIBLE. A new scanning model of FY-2 for moon's remote sensing comes true, many high quality moon images have been got. The new scanning model is based on the character of spin stabilization of satellite and flexible segmental scanning model, a new software for generating new orders takes part in the controlling system of satellite,besides traditional 20°×20° field of view,a new 10°×20° field of view is developed,the precession of the model is less than 30 seconds. An image process algorithm recognize automatic picking the moon image from the whole full disk image,the algorithm removes the false targets and noise based on the moon's size and emission character. The moon registration algorithm is designed because the moon is mobile in the field of the FY-2 satellite,the angle speed is calculated out based on the characters of the satellite,by which the position error is corrected. After the beginning of the work,more than three times moon images of conditional remote sensing have been got,which accelerates the usage of CIBLE.

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