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作 者:梁晨 LIANG Chen(State Key Laboratory of Intelligent Construction and Maintenance for Geotechnical and Tunnel Engineering under Extreme Environments,Xi'an,Shaanxi 710043,China;China Railway First Survey And Design Institute Group Co.,Ltd.,Xian,Shaanxi 710043,China)
机构地区:[1]极端环境岩土和隧道工程智能建养全国重点实验室,陕西西安710043 [2]中铁第一勘察设计院集团有限公司,陕西西安710043
出 处:《测绘标准化》2024年第4期139-145,共7页Standardization of Surveying and Mapping
基 金:中铁第一勘察设计院集团有限公司科研项目(2021KY73ZD(ZDZX)-01)。
摘 要:结合既有线铁路在改建、扩建、提速改造等勘察设计阶段的需求,本文利用无人机搭载不同类型的传感器获取贴近摄影测量数据,研究既有线铁路贴近摄影航带规划方案的设计,外业像控布设方案的优化、贴近影像的精细化建模等内容,总结出一套基于贴近摄影测量的既有线铁路精细化建模的方案。通过试验发现,本文构建的精细化建模方案相对精度可达到厘米级,模型平面、高程绝对中误差均在3 cm以内,完全满足既有线铁路测量中精细化建模的需求。In order to meet the surveying and designing needs of existing railway lines in areas such as renovation,expansion,and speed improvement,this paper uses UAV equipped with different types of sensors to obtain nap-of-the-object photogrammetric data,it studies the design of nap-of-the-object photogrammetric navigation planning schemes for existing railway lines,optimization of field image control deployment schemes,and fine modeling of nap-of-the-object images,and summarizes a set of based nap-of-the-object photogrammetry modeling programme for railway measurements that meet the requirements of existing railway lines.It concluded from the tests that the relative accuracy of the refined model constructed in this paper can be in centimeter,and the absolute mean square errors of both horizontal and vertical can be within 3 cm,fully meeting the requirements of fine modeling in existing railway lines surveying.
分 类 号:P231[天文地球—摄影测量与遥感]
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