《Table 2 Comparison of space-target extraction algorithms》

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《检测前跟踪框架下利用蒙特卡洛算法的空间碎片跟踪策略研究（英文）》

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Otherwise，in datasets A and C，as shown in Figs.2（a）-（c），both normal and critical dynamics of the atmospheric effect causing NN-αconsequently insert in It（x，y）.Fig.3（a）-（c）depict the comparison of the extraction algorithms indicated by the output SCR.From the Fig.3（a）-（c）it is clearly proved that the proposed RGA-NN approach outperforms the median technique under the three categories of background interference，especially，the condition of a dynamic background.As the results，the average output SCR of the median and RGA-NN approaches are 5.245 and 6.324 for dataset A，9.991 and 11.130 for dataset B，and dataset C at 7.105 and 7.863，respectively.For the extraction performance，factors consist of improved-SCR（i SCR），which represents the enhancement of the extraction procedure with SCRibefore and after processing with output SCR and the background suppression factor（BSF），as illustrated in Table 2.