中高轨道目标的地基光电监视
发布时间：2019-07-09 06:31
【摘要】：针对中高轨目标暗弱为目标识别和识别效率增加的难度,研究了基于被动光学系统的地基光电光测系统;同时提出了一种通过对原始图像进行最优化处理,从而有效提高目标信噪比,增加目标识别效率的方法。首先分析了在轨目标的光学反射特性,比较了不同模式下目标的信噪比,给出光电监视系统的最优设计方案。然后,结合目标运动特性和观测条件等因素,设计了适合中高轨道目标的地基地球同步轨道(GEO)目标的观测模式。最后,针对暗弱目标图像识别难题,提出了基于最优化原理的低信噪比目标识别图像处理的新方法。根据实测数据对本文方法进行了实验验证,并与传统差帧法进行了比较。结果显示,本文方法可在目标信噪比大于3.09点条件下识别出目标。该项研究对中高轨道目标光电监视用设备的设计和使用很有参考价值。
[Abstract]:Aiming at the difficulty of target recognition and recognition efficiency of medium and high orbit target, a ground-based optoelectronic optical measurement system based on passive optical system is studied, and a method to effectively improve the signal-to-noise ratio (SNR) and increase the target recognition efficiency by optimizing the original image is proposed. Firstly, the optical reflection characteristics of the in-orbit target are analyzed, the signal-to-noise ratio (SNR) of the target in different modes is compared, and the optimal design scheme of the photoelectric monitoring system is given. Then, combined with the motion characteristics and observation conditions of the target, the observation model of the ground-based geosynchronous orbit (GEO) target suitable for the medium and high orbit target is designed. Finally, a new method of low signal-to-noise ratio (SNR) target recognition image processing based on optimization principle is proposed to solve the problem of dim target image recognition. According to the measured data, the experimental verification of this method is carried out and compared with the traditional difference frame method. The results show that the proposed method can identify the target when the signal-to-noise ratio (SNR) of the target is greater than 3.09 points. This study is of great reference value for the design and use of optoelectronic monitoring equipment for medium and high track targets.
【作者单位】： 中国科学院长春光学精密机械与物理研究所;中国科学院大学;
【基金】：国家863高技术研究发展计划资助项目(No.2011AAXX2035)
【分类号】：TP391.41;V556
本文编号：2511928
[Abstract]:Aiming at the difficulty of target recognition and recognition efficiency of medium and high orbit target, a ground-based optoelectronic optical measurement system based on passive optical system is studied, and a method to effectively improve the signal-to-noise ratio (SNR) and increase the target recognition efficiency by optimizing the original image is proposed. Firstly, the optical reflection characteristics of the in-orbit target are analyzed, the signal-to-noise ratio (SNR) of the target in different modes is compared, and the optimal design scheme of the photoelectric monitoring system is given. Then, combined with the motion characteristics and observation conditions of the target, the observation model of the ground-based geosynchronous orbit (GEO) target suitable for the medium and high orbit target is designed. Finally, a new method of low signal-to-noise ratio (SNR) target recognition image processing based on optimization principle is proposed to solve the problem of dim target image recognition. According to the measured data, the experimental verification of this method is carried out and compared with the traditional difference frame method. The results show that the proposed method can identify the target when the signal-to-noise ratio (SNR) of the target is greater than 3.09 points. This study is of great reference value for the design and use of optoelectronic monitoring equipment for medium and high track targets.
【作者单位】： 中国科学院长春光学精密机械与物理研究所;中国科学院大学;
【基金】：国家863高技术研究发展计划资助项目(No.2011AAXX2035)
【分类号】：TP391.41;V556
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