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首页> 外文会议>International symposium on photoelectronic detection and imaging;ISPDI 2011 >Algorithm Based On Star Map Matching For Star Images Registration
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Algorithm Based On Star Map Matching For Star Images Registration

机译：基于星图匹配的星图配准算法

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The camera's motion of detecting and tracking GEOs in spaced-based or ground-based observation platform is very complicated because of the controls of camera's motion for accomplishing the tracking and the motion of platform itself. The controls include: the converts between spontaneous encounter mode and vertical scan mode, detecting and tracking the GEOs with different velocities, etc. The sudden conversion between different modes would make a obvious imaging difference between the two neighbor star-images: stellar shape turn long strip from point, the background's motion is not also uniform linear or constant angular rotation. The imaging difference and irregularity of background's motion enhance the difficulties of star images registration. But the step of registration is necessary in processing of detecting and tracking GEOs based on images sequence. At present almost registration algorithms are designed for some ideal situations or some special conditions needed, thus less of robust to overwhelm the imaging difference and irregularity of background's motion, so most of these are not suitable for automatically detecting and tracking under complicated circumstances in engineering. Another point is that these algorithms are constructed only in image processing level and not consider from astronomy angle. In this paper, an algorithm identifying stars for navigation in astronomy fields is introduced to images registration. For accomplishing to convert camera coordinate to right ascension and declination of sun, there are some parameters should be got in advance, including CCD camera's focal length, field angle and the current camera's axis pointing for building a proper star catalogue. Fortunately to an observation platform, these parameters are known.
机译：在空间或地面观测平台中，用于检测和跟踪GEOS的摄像机运动非常复杂，这是因为需要控制摄像机的运动来完成对平台本身的跟踪和运动。这些控件包括：在自发相遇模式和垂直扫描模式之间进行转换，检测和跟踪具有不同速度的GEOs等。不同模式之间的突然转换将使两个相邻星形图像之间的成像差异明显：恒星形状变长从点开始，背景运动也不是均匀的线性或恒定角旋转。背景运动的成像差异和不规则性增加了星形图像配准的难度。但是配准步骤在基于图像序列的GEOS检测和跟踪处理中是必需的。目前，几乎套准算法是为某些理想情况或某些特殊条件而设计的，因此不足以掩盖成像差异和背景运动的不规则性，因此大多数不适用于工程中复杂情况下的自动检测和跟踪。另一点是，这些算法仅在图像处理级别构建，而不是从天文学角度考虑。在本文中，将识别恒星以在天文学领域中导航的算法引入图像配准。为了完成将相机坐标转换为太阳的正确提升和偏角，需要预先获取一些参数，包括CCD相机的焦距，视场角和当前相机的轴指向，以建立适当的星表。幸运的是，对于观测平台而言，这些参数是已知的。

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