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作 者:李宁宁[1] 陈海洋 冯曼 陈贝[1] LI Ningning;CHEN Haiyang;FENG Man;CHEN Bei(Technology Center Testing Institute,Chinese Flight Test Establishment,Xi'an 710089,China)
机构地区:[1]中国飞行试验研究院技术中心测试所,陕西西安710089
出 处:《应用光学》2021年第6期1062-1066,共5页Journal of Applied Optics
基 金:航空工业创新基金(2014F63046)。
摘 要:在飞行试验过程中,高速摄影测量站点呈现数量多、分布散且人机分离的特点,为了同时获取起飞着陆段2个分离区域的多目标实时测量数据,基于组播概念提出了一种分布式高速摄影网络系统,设计了一种高效的无关联信号高速像机触发判据算法,通过实时获取多种机载以及动平台数据,通过图像处理的方法完成多维立体化高速摄影测量系统的实时精准智能控制与海量数据的实时卸载,实现8台不同类型高速像机的测试影像智能获取,测量系统误触发率降低至0.76%,有效提高了工作效率,保证了飞行试验数据的准确性和高效性。During the flight test, the high-speed photogrammetry stations are characterized by large number,scattered distribution, and separation of man and machine. In order to obtain the real-time measurement data of multiple targets in two separate areas of the take-off and landing section at the same time, a distributed highspeed photogrammetry network system was proposed based on the multicast concept, and an efficient uncorrelated signal high-speed camera trigger criterion algorithm was designed. Through the real-time acquisition of a variety of airborne and moving platform data, and through the image processing methods to complete the real-time precise intelligent control and the real-time unloading of massive data of multidimensional and stereoscopic high-speed photogrammetry system, the intelligent acquisition of test images from 8 different types of high-speed cameras was realized. The false trigger rate of the measurement system is reduced to 0.76%, which effectively improves the work efficiency and ensures the accuracy and efficiency of flight test data.
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