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为表征在轨卫星的自旋稳定、三轴稳定和“翻滚”三种运动状态,提出了一种基于可见光时序多谱段信号分析的目标运动状态辨识方法,分析了目标运动状态与观测星探测视场内时变的目标表面材料间的对应关系,以及材料属性/种类与时序双色比聚类信息之间的关联性。提出了基于时序双色比特征高斯混合聚类的目标表面材料种类判别算法以及目标运动状态辨识算法。综合考虑卫星的背景特性、材料特性、结构特性、轨道特性,对三种运动状态卫星的多谱段信号进行了数学仿真,对目标运动状态辨识算法进行了验证,证明了所提出算法的有效性。
In order to characterize the three kinds of motion states of orbiting satellites, such as spin stability, triaxial stability and “roll ”, a method of target motion recognition based on visible light multi-spectral signal timing analysis was proposed. The corresponding relationship between time-varying target surface materials in the sounding field and the correlation between material attributes / types and temporal colorimetric clustering information. A new method of discriminating the target surface material type and the algorithm of target motion state identification based on timed two-color-ratio Gaussian mixture clustering is proposed. Considering the satellite’s background, material properties, structural characteristics and orbital characteristics, the multi-spectral signals of three kinds of motion satellites are simulated and the algorithm of target motion state identification is verified. The effectiveness of the proposed algorithm is proved .