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光电望远镜暗弱目标识别算法及探测能力 被引量:9

Dark target identification algorithm and detecting ability of optoelectronic telescopes
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摘要 通过空间目标的光度测量可判断目标在轨运动特性和进行编目识别。对光电望远镜在卫星姿态判定领域的应用进行了介绍,验证了一种暗弱目标识别算法,即霍夫变换。通过仿真计算分析了影响极限探测星等的因素,并从目标成像后在探测器上获得信噪比的一般计算公式出发,推导计算得出光电望远镜的极限探测星等理论值,并使用星图比对的方法进行了试验验证。结果表明,星图比对法是一种可靠的星等测量方法。 According to photometric measurement, the orbit performance of space targets is judged and the identification catalog about space targets is carried out. The applications of optoelectronic telescopes in the domain of space target identification are summarized and discussed. A method for detecting dark space targets is tested, which is called the Hough transform. The factors which affect the limiting-magnitude of optoelectronic telescopes are analyzed by simulation and calculations. Based on the general signal-to-noise ratio formulation for the CCD detector, the theoretical results of limiting-magnitude of optoelectronic tele scopes are derived and calculated, which are demonstrated and validated with the method of sta^map comparisons. Experiment results show star map comparison is a reliable method for detecting star magnitude.
出处 《强激光与粒子束》 EI CAS CSCD 北大核心 2013年第3期587-592,共6页 High Power Laser and Particle Beams
基金 国家自然科学基金项目(61179010)
关键词 光电望远镜 空间目标 霍夫变换 星等 optoeleetronic telescope space target Hough transform star magnitude
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