Centroid determination based on energy flow information for moving dim point targets

Sun, Ting; Xing, Fei; Bao, Jingyu; Zhan, Haiyang; Han, Yingxue; Wang, Geng; Fu, Sheng

doi:10.1016/j.actaastro.2021.12.046

Cited by 10 publications

(2 citation statements)

References 28 publications

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“…The luminance distribution of a star in the star image depends on the point spread function (PSF) and the position of the star. In common with many previous studies, [8][9][10][11] 2D Gaussian PSF is used. In order to obtain the simulating verisimilitude about the earth observing sensors, the gray diffusion also needs to be done with each of the star image spots.…”

Section: Image Simulationmentioning

confidence: 99%

Star centroid extraction in the image sequences of a discrete detector array on geostationary orbit

Qiao

Han²,

Zhang³

2022

Image and Signal Processing for Remote Sensing XXVIII

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Satellite image positioning and registration is a key technology for geostationary Earth observation satellites. Our work can provide powerful prior information for the positioning and registration of Earth observation images. We simulate the process of geostationary orbit satellites observing the space region with discrete detector array, generate star observation sequence images considering various situation, and study the high precision subpixel star centroid extraction algorithm. Under the condition that the star trajectory passes through the pixel, the proposed algorithm achieves the extraction error of less than 0.5 pixels.

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Section: Image Simulationmentioning

confidence: 99%

Star centroid extraction in the image sequences of a discrete detector array on geostationary orbit

Qiao

Han²,

Zhang³

2022

Image and Signal Processing for Remote Sensing XXVIII

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“…However, Thomas et al [23] found that when the signal to noise ratio (SNR) did not meet the tracking conditions, the cross-correlation function could not seek the optimal solution, and the tracking spot target morphology was greatly affected by random noise. In 2021, Sun et al [24] proposed a filtered centering method based on the motion pattern which can effectively solve the problem of random noise. However, this algorithm requires continuous motion information of the point target and is not real-time [25].…”

mentioning

confidence: 99%

A Window-Adaptive Centroiding Method Based on Energy Iteration for Spot Target Localization

Bao,

Zhan,

Sun

et al. 2022

IEEE Trans. Instrum. Meas.

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The random noise of a complementary metal-oxidesemiconductor (CMOS) image sensor is the main factor limiting the further improvement of high accuracy spot target detection. Accordingly, a window-adaptive centroiding method based on energy iteration is proposed in this paper. The method can effectively mitigate the problem of localization performance fluctuations caused by the random noise at the low-intensity pixels within the extraction window. By analyzing the centroiding error model and the random noise of CMOS detectors, simulations are used to deduce that pixel response random noise that remains after removing systematic errors is the main factor limiting further improvement in positioning accuracy. Based on the generally applicable threshold centroiding algorithm, the influence of the pixel response within the extraction window on the centroiding accuracy is derived according to the pixel energy and the pixel location relative to the target centroid. This leads to an iterative method which combines the pixels with better performance as a new extraction window and recalculates the target centroid. The effectiveness of the algorithm at the signal-to-noise ratio typical for real cases is simulated and analyzed. An experimental scheme is designed for the sub-pixel movement of point targets with a measurement platform based on a high-precision rotary table and a star tracker to validate our algorithm. Further real star experiment is conducted to verify the effectiveness of the algorithm. The results of the experiments indicate that the proposed method can reduce the random noise effect on spot extraction accuracy.

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A dynamic star spots extraction method based on pixel association

Fan,

Zhang,

Wang

2024

Advances in Space Research

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Centroid determination based on energy flow information for moving dim point targets

Cited by 10 publications

References 28 publications

Star centroid extraction in the image sequences of a discrete detector array on geostationary orbit

Star centroid extraction in the image sequences of a discrete detector array on geostationary orbit

A Window-Adaptive Centroiding Method Based on Energy Iteration for Spot Target Localization

A dynamic star spots extraction method based on pixel association

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