Stellar map centroid positioning based on dark channel denoising and feasibility of jitter detection on ZiYuan3 satellite platform

Hong Zhu,Xinming Tang,Di Jia,Junfeng Xie,Guangtong Sun

doi:10.1117/1.jrs.15.016519

Abstract

Stellar map denoising and centroid positioning, which directly determine the postpositioning accuracy of star trackers, are key technologies in stellar map processing. Due to the influence of a complex starry sky background, there is often a large amount of noise in stellar maps, which makes it difficult to accurately locate the stellar centroid. A stellar map processing method based on dark channel denoising and continuous multiframe stellar map centroid positioning combined with centroid trajectory constraints is proposed. First, a dark channel noise template is used for denoising, and the single-point and multipoint noises in the denoising result are filtered. Second, in the process of stellar map positioning, if the maximum gray value of the stellar is not unique, it is constrained by the previous stellar positioning result, an adaptive window is established, and the gray-scale centroid weighting method is used to locate the centroid. Then, the star angular distance is used to analyze the precision of the centroid positioning. Finally, the jitter frequency of the satellite platform based on the continuous multiframe centroid positioning result is used to detect satellite attitude. The experimental results show that the performance of dark channel denoising, which can solve many strip noise and background noise problems in stellar maps, is better than that of the existing stellar map denoising method. The centroid positioning results improves the star angular distance by 18.85 arc sec compared with the Gaussian filter and by 8.03 arc sec compared with the global threshold segmentation method, significantly improving the accuracy of stellar map centroid positioning and laying a foundation for improving the star tracker positioning accuracy. A jitter frequency of 0.67 Hz was detected on the ZiYuan3 satellite platform based on the centroid positioning results. It enriches the jitter detection methods and provides a theoretical and technical basis for the design of future high-resolution ground observation remote sensing satellite platforms and geometric accuracy compensation.

Highlights

Star trackers have the advantages of high precision, good reliability, strong acquisition, and tracking ability, which are key factors in determining whether a satellite can operate stably in orbit.[1,2,3] The measurement accuracy of the star trackers has a great influence on the pointing accuracy and attitude stability of the satellite platform
Given the noise characteristics of stellar maps and stellar positioning accuracy, stellar map denoising based on dark channel and the continuous multiframe stellar map centroid positioning combined with centroid trajectory constraints is put forward in this paper
The range of the star angular distance error floating range of the proposed method is obviously better than those of the Gaussian filtering and global threshold denoising methods; the method proposed in this paper can improve the extraction accuracy of the stellar map centroid and further improve the positioning accuracy of the star tracker

Summary

Introduction

Star trackers have the advantages of high precision, good reliability, strong acquisition, and tracking ability, which are key factors in determining whether a satellite can operate stably in orbit.[1,2,3] The measurement accuracy of the star trackers has a great influence on the pointing accuracy and attitude stability of the satellite platform. The pointing accuracy and attitude stability of the satellite platform directly determine the uncontrolled mapping capability of the remote sensing satellite. Zhu et al.: Stellar map centroid positioning based on dark channel denoising and feasibility. Stellar map denoising and centroid positioning are the significant technologies of star tracker attitude determination. Stellar map denoising is the premise of centroid positioning and the results directly determine the postattitude determination of the satellite sensors.[6,7,8] effectively mitigating noise and accurate centroid positioning have become one of the important research areas of aerospace remote sensing satellites in recent years.[9,10]

Methods

Results

Conclusion