AEROSPACE SHANGHAI, Volume. 42, Issue 4, 189(2025)
A Stray Light Filtering Algorithm for Space Object Detection
Figures & Tables(11)
Fig. 2. Schematic diagrams of three types of interference severity areas
Fig. 4. Images of moon entering the field of view from different angles
Fig. 6. Simulation results of the block high-pass filtering method
Fig. 7. Simulation results of the maximum background estimation method
Table 1.
Comparisons of the average target detection number and false alarm rate in 99 ms exposure View tableView in ArticleTable 1.
Comparisons of the average target detection number and false alarm rate in 99 ms exposure 方法 探测目标数/个 有效目标数/个 虚假目标数/个 虚警率/% 本文方法 104.75 104.75 0 0 分块高通滤波法 128.25 104.75 23.50 22.43 最大背景估计法 95.00 95.00 0 0
Table 2.
Comparisons of the average target detection number and false alarm rate in 40 ms exposure View tableView in ArticleTable 2.
Comparisons of the average target detection number and false alarm rate in 40 ms exposure 方法 探测目标数/个 有效目标数/个 虚假目标数/个 虚警率/% 本文方法 58.25 58.25 0 0 分块高通滤波法 98.00 58.25 39.75 68.24 最大背景估计法 52.50 52.50 0 0
Table 3.
Hardware implementation performance of our algorithm View tableView in ArticleTable 3.
Hardware implementation performance of our algorithm 指标 性能 图像缓存空间/kbits 768 质心计算时效性/ms 图像读出完毕后为1.08 全帧图像读出与处理耗时/ms 69.89 最高数据更新率/Hz 14.31
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Xuedong SONG, Di PAN, Sijia PAN, Da LIAN, Libin LI, Weizhi QU. A Stray Light Filtering Algorithm for Space Object Detection[J]. AEROSPACE SHANGHAI, 2025, 42(4): 189
Paper Information
Category: Speciality Discussion
Received: Jul. 21, 2024
Accepted: --
Published Online: Sep. 29, 2025
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