Paper
5 November 2020 Implementation of a high precision star centroid extraction algorithm based on hardware platform
Author Affiliations +
Proceedings Volume 11567, AOPC 2020: Optical Sensing and Imaging Technology; 1156734 (2020) https://doi.org/10.1117/12.2580084
Event: Applied Optics and Photonics China (AOPC 2020), 2020, Beijing, China
Abstract
Star trackers measures the attitude of spacecraft by matching the centroid coordinates extracted from star image with the star database. However, dim stars, fake stars, noise and irregularly shaped star spots interfere with star extraction. In order to solve these problems, a new star centroid extraction algorithm based on adjacent branch decision marker is proposed in this paper. The first step is to use labels to encode the pixel of star points which are processed by double threshold segmentation; the second step is to judge the validity of the labels by using the adjacent branch decision marker and output them. Compared with the traditional connected area segmentation method, the algorithm can solve the influence of irregular shape star points on Star Information segmentation, and two kinds of threshold segmentation method can effectively eliminate the influence of background on star point extraction. The experimental results show that the algorithm has high precision and speed of star centroid extraction, and the resource cost is low. Compared with other methods, this method has stronger anti background interference ability and better robustness.
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Wenchao Jiang, Shiqiao Qin, Dongkai Dai, Bo Ren, and Zhisheng Wang "Implementation of a high precision star centroid extraction algorithm based on hardware platform", Proc. SPIE 11567, AOPC 2020: Optical Sensing and Imaging Technology, 1156734 (5 November 2020); https://doi.org/10.1117/12.2580084
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KEYWORDS
Stars

Detection and tracking algorithms

Clouds

Image segmentation

Optoelectronics

Information fusion

Stray light

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