Research on Star Subdivision Location Method Based on Skewed Normal Distribution

Ruiming, 贾瑞明 Jia; Xiaolei, 马晓蕾 Ma; Yuncai, 郝云彩 Hao

doi:10.3788/lop53.051002

Cited by 1 publication

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“…The pixel interpolation subdivision algorithms mainly include the centroid algorithm and the surface fitting algorithm [21,22]. The centroid algorithm uses the gray value of the star point to obtain the coordinate of the centroid for the star point, which has the advantage of being simple and flexible, so it is often used to locate the centroid for the star point [23]. According to the analysis, the star map is composed of three parts: star point target, star map background, and noise signal, so the gray distribution of the star map can be expressed by Equation (8).…”

Section: Accuracy Testing Experimentsmentioning

confidence: 99%

Research on the Detection Method of Projection Stellar Target Simulator

Kang,

Zheng,

Wang

et al. 2023

Photonics

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The projection stellar target simulator is a stellar target simulator in which star points are projected to be imaged on a fixed plane at a fixed distance. Compared with conventional stellar target simulators, the projection stellar target simulator makes star points visible and provides the necessary condition for a semi-physical simulation test of the star camera. In this paper, the projection stellar target simulator optical system with high-quality imaging is designed by combining the projection technology, which breaks the collimated imaging of the conventional stellar target simulator optical system, and offers a new thought to solve the problem of decreasing the calibration accuracy caused by the influence of the coaxiality and other factors in the stellar target simulator calibrating the star camera. Based on the imaging behavior of the star map, this paper proposes a method to realize the automatic detection of a projection stellar target simulator by using CCD and introduces the composition and working principle of the detection system in detail. According to the imaging characteristics of star points, denoising and threshold segmentation of the star map are carried out, and an improved centroid algorithm is proposed to achieve high-precision positioning of the centroid coordinates of the star points. The measurement model and measuring formulas for the angular distance between stars are established. The error sources of the detection system are analyzed and obtain the theoretical error of 9.22″ for this detection system. The result of an actual test experiment shows that the position error of single star is less than 11″, in line with the theoretical analysis of the error, indicating the detection system has high detection precision and meets the requirement for the detection accuracy of the projection stellar target simulator.

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Section: Accuracy Testing Experimentsmentioning

confidence: 99%