Gu Mu, Ren Qifeng, Zhou Jinmei, Liao Sheng
Appl Opt. 2021 Jan 1;60(1):109-118. doi: 10.1364/AO.409547.
Today, a large number of targets operate in space, and there are mainly four kinds of attitude targets: triaxial stabilized targets, spin stabilized targets, triaxial stabilized targets on tumbling, and spin stabilized targets on tumbling. It is of great significance to classify and identify these targets. First, the infrared radiation characteristic model of the target is established, taking different attitude targets into account, which, to the best of our knowledge, has seldom been considered. Then, through the simulation of specific example targets, the differences in infrared characteristics of four kinds of attitude targets are analyzed and explained. Finally, according to the orbit distribution and typical geometry structure of space targets, the infrared characteristic data sets of four kinds of attitude targets are simulated, and a classifier is established to classify and recognize these targets. The results show that the infrared characteristics of different attitude targets are obviously different, and the classifier can successfully classify and recognize different attitude targets.
如今，大量目标在太空中运行，主要有四种姿态目标：三轴稳定目标、自旋稳定目标、翻滚状态下的三轴稳定目标以及翻滚状态下的自旋稳定目标。对这些目标进行分类和识别具有重要意义。首先，建立了考虑不同姿态目标的目标红外辐射特性模型，据我们所知，这一点很少被考虑到。然后，通过对具体示例目标的仿真，分析并解释了四种姿态目标红外特性的差异。最后，根据空间目标的轨道分布和典型几何结构，模拟了四种姿态目标的红外特性数据集，并建立了一个分类器来对这些目标进行分类和识别。结果表明，不同姿态目标的红外特性明显不同，该分类器能够成功地对不同姿态目标进行分类和识别。
