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DEVELOPMENT OF A GENERIC, STANDARDIZED INR ARCHITECTURE FOR THE CURRENT AND FUTURE GEOSTATIONARY REMOTE SENSING SATELLITES

机译:用于当前和未来的地理遥感卫星的通用标准化INR体系结构的开发

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A conceivably generic INR (Image Navigation and Registration) architecture is introduced in this paper, which is aimed to be a standardized INR design that can be used as a common framework for diverse INR systems. The proposed INR architecture has been developed by taking the COMS (Communication, Ocean and Meteorological Satellite) INR system as the baseline platform, maintaining the excellent part of it, and replacing the least square algorithm with the Kalman filter algorithm in the best attainable form in our knowledge. In this process, it has been attempted to push the envelope of designing and implementing the Kalman filter into this class of application, as maximally and efficiently as possible, to the best of our knowledge. It is believed that the proposed INR architecture can be used as a standard framework of the INR systems for both of the current and future geostationary remote sensing satellites, with the relevant adoption of modelling for the instrument payloads, related attitude sensors and the thermo-elastic distortion.
机译:本文介绍了一种可以想象的通用INR(图像导航和注册)体系结构,其目的是作为一种标准化的INR设计,可以将其用作各种INR系统的通用框架。拟议的INR架构是通过以COMS(通信,海洋和气象卫星)INR系统为基准平台,保留其优秀部分,并以最佳可实现形式用最小二乘算法替换为卡尔曼滤波算法来开发的。我们的知识。在此过程中,已尝试尽我们所知,将设计和实现卡尔曼滤波器的范围推到最大程度并尽可能高效地应用到此类应用程序中。可以相信,拟议的INR体系结构可以用作当前和将来的地球静止遥感卫星的INR系统的标准框架,并相应地采用了仪器有效载荷,相关的姿态传感器和热弹性模型的方法。失真。

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