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作 者:敬小东[1] 鲁恒[2,3] 许辉熙[1] 张镭漓[2,3]
机构地区:[1]四川建筑职业技术学院测绘工程系,四川德阳618000 [2]四川大学水力学与山区河流开发保护国家重点实验室,四川成都610065 [3]四川大学水利水电学院,四川成都610065
出 处:《激光与光电子学进展》2014年第6期64-70,共7页Laser & Optoelectronics Progress
基 金:"十一五"国家科技支撑计划重大项目(2006BAJ05A13);中央高校基本科研业务费(2013SCU11006);德阳市重点科技支撑计划项目(2013ZZ074-05)
摘 要:轻型无人机以其机动灵活的特点,能够适应地形复杂、多云雾地区的飞行任务。但是由于其镜头小,获取的影像具有像幅小、数量多、基线短、重叠度不规则等特点,使得在进行区域网平差时和传统的航空影像有所不同。为解决无人机影像区域网平差工作量大、精度不高的问题,对获取的无人机影像进行了常规光束法区域网平差试验,利用无人机机载POS数据进行POS辅助光束法区域网平差,针对无人机获取的原始POS数据精度不高的问题,通过在区域网内布设少量控制点,建立POS数据改正模型,从而获取POS数据误差改正参数,对原始POS数据进行改正。提出了一种利用改正后POS数据辅助区域网平差的方法,并对三种方法的精度进行了评定。研究结果表明,常规方法的精度要优于直接利用原始POS数据的方法,利用改正后POS数据的方法在精度上接近常规方法,同时提高了区域网平差的效率。With the characteristic of flexibility, unmanned aerial vehicles (UAV) can adapt to the flight mission of complex terrain in cloudy area. But because the lens are short and the obtained image with the characteristics of small size, large number, short baseline and irregular overlapping degree, this method is different from the one processing traditional aviation image. In order to solve the precision of block adjustment which is not high and the heavy workload of image processing based on UAV image. We took several methods, first of all, the image data acquired by UAV are processed using the conventional block adjustment method, and then the POS- supported block adjustment method is used based on the original POS data. For the problem of low accuracy of the original POS data obtained by UAV, POS data correction model is established and POS data error correction parameter are acquired by layout a small amount of the control points in regional network, and a POS- supported block adjustment method is proposed based on the corrected POS data. Experimental results show that the precision of the conventional method is superior to the method of using original POS data directly, the precision of the corrected POS data method is close to the conventional method, at the same time, the efficiency of the block adjustment is improved.
分 类 号:P231.5[天文地球—摄影测量与遥感]
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