一种基于光学测量的航天器结构分析方法

对空间目标进行形态结构分析, 对于航天器空间操作和空间攻防等空间任务具有重要意义。探索了一种空间目标结构分析方法。首先利用最小曲率准则和最短分割线准则,并结合目标骨架,构建了一种新的形状分解的方法;在此基础上,将小波矩特征引入到卫星部件形状分析中,并利用粗糙集约简算法选择有效的小波矩特征;最后利用支持向量机构造了多尺度形状识别器,结合目标先验信息实现对空间目标结构的分析。仿真实验结果表明了所提方法的有效性。

A new method of optical measurement-based spacecraft structure analysis

Morphological structure analysis of space target is significant for space missions, such as space defense, space operations, et al. A space object structure analysis method was presented. First, a shape decomposition method was constructed by combining the minimum components criterion, the shortest internal length criterion and target skeleton. Based on which, the wavelet-moment was introduced into the analysis of satellite components, and the effective features were selected by the rough set reduction algorithm. At last, a multi-scale shape recognizer was presented by support vector machine, and thus the structure of space target was analyzed. Experiments on simulation data show that the proposed algorithm is efficient.