海洋目标单卫星探测系统分析
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摘要
通过对探测能力指标进行分析,选取了信噪比和覆盖率两个指标并初步建立了系统信噪比模型以及对地覆盖模型。信噪比模型考虑了单卫星系统对海洋目标探测影响的空间光照环境、系统内部噪声。最后依据信噪比定义建立了探测系统的信噪比模型并给出了探测系统信噪比判据。对地覆盖模型以卫星星下点经纬度为已知量,通过运算得到了卫星探测区域边界点的经纬度。并采用网格点分析法,利用STK进行仿真得到结果来说明对地覆盖模型的适用性。
Through the analysis of the detection capability index,the signal-to-noise ratio and the coverage ratio were selected and the system signal-to-noise ratio model and ground coverage model were preliminarily established. The signal-to-noise ratio model considers the spatial light environment and the internal noise of a single satellite system on the detection of ocean objects. Finally,according to the definition of SNR,the SNR model of the detection system was established and the SNR criterion of detection system was given.The earth coverage model took the longitude and latitude of the satellite's sub-satellite points as the known quantity,and the longitude and latitude of the satellite's detection region boundary points were obtained through relational calculation. The mesh point analysis method and the simulation results of STK were used to illustrate the applicability of the ground cover model.
Through the analysis of the detection capability index,the signal-to-noise ratio and the coverage ratio were selected and the system signal-to-noise ratio model and ground coverage model were preliminarily established. The signal-to-noise ratio model considers the spatial light environment and the internal noise of a single satellite system on the detection of ocean objects. Finally,according to the definition of SNR,the SNR model of the detection system was established and the SNR criterion of detection system was given.The earth coverage model took the longitude and latitude of the satellite's sub-satellite points as the known quantity,and the longitude and latitude of the satellite's detection region boundary points were obtained through relational calculation. The mesh point analysis method and the simulation results of STK were used to illustrate the applicability of the ground cover model.
引文
[1]王永刚.军事卫星及应用概论[M].北京:国防工业出版社,2003.
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[3]徐一帆,谭跃进,贺仁杰,等.天基海洋目标监视的系统分析及相关研究综述[J].宇航学报,2010,31(3):628-640.
[4]万志,任建伟,李宪圣,等.探测海洋目标的光学遥感器工作波段选择[J].光学精密工程,2008,16(10):1864-1868.
[5]杨志文.光学测量[M].北京:北京理工大学出版社,1995.
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[7] BASSHAM C B. Automatic target recognition classification system evaluation methodology[M]. Air Force Institute of Technology,2002.
[8]彭华峰,陈鲸,张彬.空间目标在天基光电望远镜中的光度特征研究[J].光电工程,2006,33(12):9-14.
[9]李淑军,高晓东,朱耆祥.废弃火箭体的光度变化分析[J].飞行器测控学报,2004,23(2):51-57.
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[12]陈剑,杨银堂. CMOS图像传感器研究[J].电子科技,2007(9):17-21.
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[14]裴志军.高性能CMOS图像传感器设计技术研究[D].天津:天津大学,2004.
[2]吴炜琦,张育林.海洋目标探测卫星的通用效能模型初探[J].宇航学报,2006,27(4):814-818.
[3]徐一帆,谭跃进,贺仁杰,等.天基海洋目标监视的系统分析及相关研究综述[J].宇航学报,2010,31(3):628-640.
[4]万志,任建伟,李宪圣,等.探测海洋目标的光学遥感器工作波段选择[J].光学精密工程,2008,16(10):1864-1868.
[5]杨志文.光学测量[M].北京:北京理工大学出版社,1995.
[6]陈玉茹,胡以华,芮键.高分辨率可见光相机作用距离的估算[J].光学与光电技术,2006,4(3):40-42.
[7] BASSHAM C B. Automatic target recognition classification system evaluation methodology[M]. Air Force Institute of Technology,2002.
[8]彭华峰,陈鲸,张彬.空间目标在天基光电望远镜中的光度特征研究[J].光电工程,2006,33(12):9-14.
[9]李淑军,高晓东,朱耆祥.废弃火箭体的光度变化分析[J].飞行器测控学报,2004,23(2):51-57.
[10]宋丰华.现代空间光电系统及应用[M].北京:国防工业出版社,2004.
[11]陈新锦,袁艳,李立英,等.目标探测的信噪比分析[J].应用光学,2007,28(4):397-400.
[12]陈剑,杨银堂. CMOS图像传感器研究[J].电子科技,2007(9):17-21.
[13]刁静.有源像素CMOS图像传感器的设计研究[D].成都:电子科技大学,2006.
[14]裴志军.高性能CMOS图像传感器设计技术研究[D].天津:天津大学,2004.