一个客观优化的地球观测系统

David John Lary
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引用次数: 4

摘要

本文描述了未来地球观测系统的一个愿景。在这一愿景中,新的是对共生交流的渴望,以动态地指导观察系统。一个地球观测系统,它不仅仅是一颗独立运行的卫星,而是一个卫星星座,以及无人驾驶飞行器等亚轨道平台,以及与用于建模、数据分析和动态观测制导的计算机系统相互作用的地面观测系统。自主客观优化的观测方向系统(OOODS)在对地观测中具有重要的应用价值。特别是,拥有一系列智能资产,可以根据不断变化的科学技术需求进行重新配置。OOODS在传感器网络中集成了一个建模和同化系统,允许对所选资产进行自主调度,并向用户自主提供分析。OOODS按照通用原则操作,这些原则可以很容易地用于配置中,而不是这里描述的特定示例。我们不知道的度量(状态向量不确定性)用于定义我们需要测量的内容以及观测所需的模式、时间和位置,即实时定义观测系统目标。了解该信息(信息内容)的重要性的度量标准用于为每个观察分配优先级。这些指标被实时传递给传感器网络观察调度程序,以实现下一个观察周期的观察计划。该系统还可用于降低观测灵敏度模拟实验(OSSE)模式下的成本和开发时间,以优化开发下一代空间和地面观测系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Objectively Optimized Earth Observing System
This paper describes one vision for future Earth observing systems. New in this vision is the desire for symbiotic communication to dynamically guide an observation system. An earth observation system which is not just a single satellite acting on its own but a constellation of satellites, and sub-orbital platforms such as unmanned aerial vehicles, and ground observations interacting with computer systems used for modeling, data analysis and dynamic observation guidance. An autonomous objectively optimized observation direction system (OOODS) is of great utility for earth observation. In particular, to have a fleet of smart assets that can be reconfigured based on the changing needs of science and technology. The OOODS integrates a modeling and assimilation system within the sensor web allowing the autonomous scheduling of the chosen assets and the autonomous provision of analyses to users. The OOODS operates on generic principles that could easily be used in configurations other than the specific examples described here. Metrics of what we do not know (state vector uncertainty) are used to define what we need to measure and the required mode, time and location of the observations, i.e. to define in real time the observing system targets. Metrics of how important it is to know this information (information content) are used to assign a priority to each observation. The metrics are passed in real time to the sensor web observation scheduler to implement the observation plan for the next observing cycle. The same system could also be used to reduce the cost and development time in an observation sensitivity simulation experiment (OSSE) mode for the optimum development of the next generation of space and ground-based observing systems.
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