基于天基光学探测信息的GEO目标识别研究

Research on the Identification of Geosynchronous Objects with Space-based Visible Surveillance Data

分析了地球同步轨道（geosynchronous,GEO）目标的分布规律,根据目标表面的散射特性,建立目标的高次余弦散射模型,推导出空间目标在天基光学相机入瞳处的光度模型。在仅能获得目标光度数据的天基光学观测情况下,分析观测相角和目标姿态对目标光度变化的影响,实现了对GEO目标的识别。仿真表明,该方法能够有效地实现对GEO目标工作状态和同类目标形状结构的识别。

The paper analyzes the distribution of the geosynchronous objects,and establishes a Nth cosine scattering model based on the scatting character of the space objects,and then deduces the brightness magnitude model of objects at the camera.It analyzes the sun-object-observer phase angle and the object＇s attitude how to influence the object＇s luminosity feature,and achieves the identification of geosynchronous objects with the space-based photometric data.Simulation examples show that the method can effectively achieve discrimination between the working satellites and the disabled satellites,and identification of discriminating the space object＇s body structure within a space object class.