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作 者:曹君[1] 叶辰萌 刘正华[2] CAO Jun;YE Chenmeng;LIU Zhenghua(Wuhan City Polytechnic,Wuhan 430064,China;Institute of Seismology,China Earthquake Administration,Wuhan 430071,China)
机构地区:[1]武汉城市职业学院,湖北武汉430064 [2]中国地震局地震研究所,湖北武汉430071
出 处:《河南科技》2024年第7期5-9,共5页Henan Science and Technology
基 金:湖北省教育厅科学研究计划项目(B2020425);武汉市知识创新专项曙光计划项目(2023020201020480)。
摘 要:【目的】为解决车载全景影像在智慧城市、智慧城管、智慧交通等领域中应用不足的问题,提出了一种基于LM优化的车载序列全景影像绝对测量的方法。【方法】首先,对待测目标点在全景影像上的成像过程进行分析,详细推导了目标点绝对坐标测量的理论模型。其次,为解决该理论模型的优化求解问题,引入了对初值不敏感且收敛速度较快的LM算法,并对LM算法中的初值获取、函数构建、参数设置等问题进行了设计。最后,结合实际车载全景影像和目标点位实测数据,对所提的方法进行验证。【结果】该方法获得的目标点绝对坐标平面中误差和高程中误差分别为0.123 m和0.118 m,符合《城市测量规范》(CJJ/T 8—2011)中的相关要求。【结论】该方法能够有效获取全景影像范围内待测目标点的绝对坐标,从而为全景影像在城市部件普查、交通基础设施测量等领域的应用提供了可能。[Purposes]Aiming at the problem of insufficient application of vehicle panoramic images in the fields of smart city,smart city management,smart transportation,etc.,a method of absolute measurement of vehicle sequence panoramic images based on LM optimization is proposed.[Methods]Firstly,by analyzing the imaging process of the target point to be measured on the panoramic image,the theoretical model of the absolute coordinate measurement of the target point was deduced in detail.Secondly,in order to solve the optimization problem of the theoretical model,the LM algorithm,which is insensitive to the initial value and has a fast convergence speed,is introduced,and the initial value acquisition,function construction and parameter setting in the LM algorithm are designed.Finally,the proposed method is verified by combining the actual vehicle panoramic image and the measured data of the target point.[Findings]The results show that the mean square errors of the plane and elevation coordinates of the target points obtained by this method are 0.123 m and 0.118 m,respectively,which meet the relevant requirements in the′Urban Surveying Specification(CJJ/T 8—2011)′.[Conclusions]This method can effectively obtain the absolute coordinates of the target points to be measured in the range of panoramic images,thus providing the possibility for the application of panoramic images in the fields of urban component survey and transportation infrastructure measurement.
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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