视频测量机器人星识别算法在自动天文定向中的应用

天文定向是通过观测天体确定方位的高精度定向方法，在天文测量中具有重要的作用，实现自动天文定向是目前天文定向的发展趋势。基于视频全站仪的工作模式，本文提出了一种星识别定向方法。首先通过视频测量连续快速拍摄多颗星，再将高度角和方位角差作为匹配条件，识别出各恒星，最后利用观测数据和解算的恒星数据关系获得定向结果，实现天文定向自动化。本文分析了因测站坐标误差和观测误差引起的星识别误差，由此给出匹配阈值，进一步提高了匹配的精确度和准确度。

Application of star recognition algorithm based on video measuring robot in automatic astronomical orientation

Astronomical orientation is a high precision orientation method to determine the orientation by observing celestial bodies, which plays an important role in astronomical measurement. Automatic astronomical orientation is the developing trend of astronomical orientation. Based on video total station work mode, a star identification orientation method is proposed. First, it uses video measuring to continuously and rapidly shoot many stars. Second, all the stars are identified with the elevation angle and azimuth angle difference as matching conditions. Finally, the directional results are obtained by using the observed data and the calculated stellar data relation, to realize the automatic astronomical orientation. In this paper, the star recognition error caused by coordinate error of measurement station and observation error is analyzed. Therefore, the matching threshold is given to further improve the precision and accuracy of matching.