西安电子科技大学学报 ›› 2023, Vol. 50 ›› Issue (6): 120-132.doi: 10.19665/j.issn1001-2400.20230307
• 信息与通信工程 & 计算机科学与技术 • 上一篇 下一篇
刘路远1(),韩璐瑶1(),李娇娇1(),夏晖2(),饶鹏2(),宋锐1()
收稿日期:
2022-11-03
出版日期:
2023-12-20
发布日期:
2024-01-22
通讯作者:
宋锐(1982—),男,教授,E-mail:作者简介:
刘路远(2000—),男,西安电子科技大学硕士研究生,E-mail:基金资助:
LIU Luyuan1(),HAN Luyao1(),LI Jiaojiao1(),XIA Hui2(),RAO Peng2(),SONG Rui1()
Received:
2022-11-03
Online:
2023-12-20
Published:
2024-01-22
摘要:
天基光电探测单元具有视场角大、载重小和机动灵活的特性,在空间作业的监视任务中有重要应用,其中卫星目标的识别和形心定位是其重要功能之一。由于目前在轨载荷处理器的算力较弱,在近距离测角任务中无法使用深度神经网络算法进行复杂定位。针对这一问题,深入分析了目标的特点,依据卫星几何特性设计了一种超轻量化实时处理方法。该算法设计了直线特征和帆板边缘特征提取器,提出了一种利用特殊几何关键点计算目标最小外接矩形的策略,提升外接矩形与目标边缘的贴合度。算法在仿真数据集上进行了测试,并在物理模拟试验场采集的影像数据上进行了验证。测试结果表明,算法的检测精度优于主流深度学习目标检测网络Yolov5n,计算量仅为对比算法的10%。在嵌入式实时处理平台上移植后,实时定位速度可达到5 120×5 120@5 fps。在验证环境下,基于所提算法形心定位的结果进行测角,测角精度优于0.05°,满足应用场景的精度要求。
中图分类号:
刘路远, 韩璐瑶, 李娇娇, 夏晖, 饶鹏, 宋锐. 一种超轻量化卫星目标形心定位算法[J]. 西安电子科技大学学报, 2023, 50(6): 120-132.
LIU Luyuan, HAN Luyao, LI Jiaojiao, XIA Hui, RAO Peng, SONG Rui. Lightweight centroid locating method for the satellite target[J]. Journal of Xidian University, 2023, 50(6): 120-132.
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