极值分析下基于位置矩阵的质心定位方法

doi:10.12305/j.issn.1001-506X.2021.09.28

Abstract

Abstract:

In order to obtain the high-precision star centroid position under complex working conditions, a centroid location method based on position matrix under extremum value analysis is proposed. Firstly, a coarse extraction algorithm of star point dispersion region is proposed under extreme value analysis, and the star point local region is restricted after denoising. Then, a line segment coding labeling method based on position matrix is proposed to extract the star dispersion region accurately. Finally, Gaussian surface parameters are estimated by using star pixel information to obtain the precise centroid coordinates of star.Simulation results show that when the star map noise standard deviation is 2, the accuracy of the centroid location can reach 0.070 4 pixel by the proposed method, and when the star map noise standard deviation is 12, the success rate of star extraction is 90.03%.

Key words: extreme value analysis, position matrix, line segment coding, centroid localization

CLC Number:

V448.22

Hui DUAN, Zhili ZHANG, Zhaofa ZHOU, Zhe LIANG, Xinling YAO. Centroid location method based on position matrix under extremum value analysis[J]. Systems Engineering and Electronics, 2021, 43(9): 2594-2604.

Figures/Tables 13

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References 33

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序号	星点坐标准确值		本文方法		扫描法		矢量法		块扫描法
序号	行坐标	列坐标	行坐标	列坐标	行坐标	列坐标	行坐标	列坐标	行坐标	列坐标
1	8.910 7	273.491 4	8.779 1	273.419 2	8.443 8	273.973 6	8.377 9	272.956 1	9.173 7	273.280 5
2	77.892 8	469.953 5	77.817 4	469.851 3	78.983 2	470.983 8	76.316 1	470.385 4	78.087 6	470.095 7
3	96.031 8	16.858 3	95.955 5	16.949 6	—	—	96.522 8	15.912 4	95.869 7	17.129 6
4	122.381 2	234.983 9	122.448 3	234.807 4	121.641 7	233.773 0	—	—	122.170 9	234.938 6
5	155.951 2	182.806 3	156.041 3	182.702 1	156.597 6	183.249 3	155.486 8	182.085 5	156.016 4	182.711 2
6	195.462 5	344.739 1	195.635 7	344.685 3	194.733 4	345.356 6	196.062 4	344.263 9	195.937 5	344.815 7
7	220.367 8	267.060 6	220.520 1	266.988 5	220.636 9	266.657 2	221.022 4	266.384 9	220.179 2	266.888 5
8	246.542 6	15.920 2	246.623 0	16.007 9	247.121 7	16.172 9	245.933 4	14.973 7	246.422 6	16.231 3
9	248.756 1	407.400 5	248.548 4	407.295 3	249.237 9	407.882 0	247.896 3	406.529 3	248.126 1	407.413 8
10	293.216 9	259.168 1	293.325 4	259.004 8	292.491 4	258.213 7	—	—	293.282 6	259.577 3
11	297.127 4	343.303 9	297.189 6	343.386 0	297.768 8	344.015 7	297.489 6	344.248 2	297.000 6	343.241 8
12	299.063 4	6.531 7	298.955 6	6.607 9	298.525 9	6.901 7	299.490 4	6.000 9	299.182 5	6.495 2
13	314.709 2	282.190 9	314.681 8	282.277 4	315.685 4	282.678 3	314.330 2	281.389 0	314.612 1	282.377 4
14	334.754 1	159.809 0	334.863 5	159.756 8	—	—	333.840 9	159.404 6	335.176 2	159.761 9
15	431.093 1	151.131 3	431.196 4	151.198 5	431.565 7	150.182 7	430.519 1	151.879 9	431.124 1	150.874 1

星图噪声	本文方法		扫描法		矢量法		块扫描法
星图噪声	星点提取成功率/%	星点提取误差/pixel	星点提取成功率/%	星点提取误差/pixel	星点提取成功率/%	星点提取误差/pixel	星点提取成功率/%	星点提取误差/pixel
标准差=2	100.00	0.070 4	100.00	0.693 9	99.06	0.652 9	100.00	0.133 8
标准差=4	100.00	0.083 3	100.00	0.716 2	92.04	0.702 5	100.00	0.179 5
标准差=6	100.00	0.106 9	95.72	0.836 1	88.49	0.801 3	100.00	0.210 1
标准差=8	100.00	0.152 4	87.07	0.903 3	74.82	1.124 7	97.08	0.317 7
标准差=10	95.15	0.197 7	81.03	1.209 7	65.16	1.364 8	93.56	0.336 1
标准差=12	90.03	0.256 3	77.28	2.395 1	54.83	2.562 1	83.95	0.375 9

参数	星点提取方法
参数	本文方法	扫描法	矢量法	块扫描法
算法耗时	0.074 6	0.215 7	0.129 6	0.069 3

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Centroid location method based on position matrix under extremum value analysis

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