Center Extraction Method for Star-Map Targets Based on Anisotropic Gaussian Surface Fitting

Min, 王敏 Wang; Jinyu, 赵金宇 Zhao; Tao, 陈 涛 Chen

doi:10.3788/aos201737.0515006

光学学报

2017

DOI: 10.3788/aos201737.0515006

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Center Extraction Method for Star-Map Targets Based on Anisotropic Gaussian Surface Fitting

王敏 Wang Min¹,

赵金宇 Zhao Jinyu²,

陈涛 Chen Tao³

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“…Stellar map denoising is the premise of centroid positioning and the results directly determine the postattitude determination of the satellite sensors. [6][7][8] Therefore, 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 Currently, stellar map denoising methods can be roughly divided into two categories: stellar map denoising based on filtering or threshold segmentation method.…”

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confidence: 99%

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

Zhu

Xie

Tang

et al. 2021

J. Appl. Rem. Sens.

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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. © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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mentioning

confidence: 99%

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

Zhu

Xie

Tang

et al. 2021

J. Appl. Rem. Sens.

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Analysis of overlapping rate of spot derived from ablated monocrystalline silicon by femtosecond laser

Wang

Liu

2020

Journal of Laser Applications

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In order to investigate the overlap rate of an ablated spot on monocrystalline silicon by a femtosecond laser, a skewness spot derived from plasma is analyzed. First, the serial spot image is collected, and the ablated core area of the spot is extracted by the way of bit image layering so that the peripheral halo can be eliminated effectively. The image of the spot is enhanced by Gaussian-guided filtering, which has the effect of keeping the edge of the spot; the smoothness of different directions is the same, and the gray distribution is more uniform. Second, the two-domain product gray centroid method is introduced to extract the spot centroid; at the same time, considering the information of spatial domain and value domain, the standard deviation is reduced by1.0. Third, according to the characteristics of spot shape change, the centroid coordinates are tracked by the Kalman filter optimized by wavelet heteropoly denoising, and the error is reduced by 0.5. Finally, the distance proportion sum method is introduced to calculate the diameter of the deflection spot, and then, by using the optimal tracking method, the average change in speed of the spot in the transverse direction is found to be 0.07 mm/s. The result of this paper shows that, on the one hand, with the increase of laser power, the influence factor of spot deflection on the spot diameter is increasing but the increase in the amplitude is gradually reduced. It can be seen that the increase of laser power can slow down the influence of spot deflection on spot overlap. Between 10 and 20 mW, strong increasing effect is shown; however, between 20 and 50 mW, a weak increasing effect is shown. On the other hand, strictly speaking, it is not the scanning speed but the actual ablation speed that has a direct impact on the spot overlap rate.

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基于反射点源的光学遥感卫星像点提取及精度验证

Wang Qiang,

Xu Weiwei,

Si Xiaolong

et al. 2024

光学学报

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Objective The automation of calibration and the accuracy of pixel extraction are the key factors in improving the efficiency and accuracy of geometric calibration of optical remote sensing satellites in orbit. With the increasing number of optical remote sensing satellites in orbit and the continuous improvement of satellite image resolution, current level of calibration automation cannot meet future development needs. The coordinates of control points and their corresponding

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Center Extraction Method for Star-Map Targets Based on Anisotropic Gaussian Surface Fitting

Cited by 3 publications

References 0 publications

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

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

Analysis of overlapping rate of spot derived from ablated monocrystalline silicon by femtosecond laser

基于反射点源的光学遥感卫星像点提取及精度验证

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