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基于改进TIN的空中三角测量模型较差显示
引用本文:解志刚,谭笑,辛宪会,闫军伟.基于改进TIN的空中三角测量模型较差显示[J].海洋测绘,2021(6):23-26.
作者姓名:解志刚  谭笑  辛宪会  闫军伟
作者单位:32022 部队,湖北 武汉 430074;海军工程大学 作战运筹与规划系,湖北 武汉 430033;海军研究院,天津 300061
基金项目:国家自然科学基金(41771487;41971416); 军内科研(TJ20203A030186);湖北省自然科学基金(2020CFB706)
摘    要:为在空中三角测量模型较差检测中形象快速标注误差超限点、超限区域,直观揭示误差全局区域联系,给空中三角测量补加连接点提供指引,提高空中三角测量作业效率和精度,结合逐点插入法和数据分块思想改进Delaunay三角网构网算法,提出了一种空中三角测量模型较差平面显示方法,利用Delaunay三角网的优良网拓扑关系显示超限点并推荐误差超限范围。以84景规模实际无控空中三角测量工程对该方法进行验证,结果表明该方法能够快速显示空中三角测量模型较差超限点和区域,指示补点区域,有助于揭示空中三角测量模型较差分布规律,辅助空中三角测量修正。该方法可为空中三角测量模型较差检测实际工程新问题提供高效实践方案。

关 键 词:空中三角测量  模型较差  较差显示  Delaunay三角网  逐点插入  数据分块

Display of difference among aerial triangulation models based on improved triangulated irregular network
XIE Zhigang,TAN Xiao,XIN Xianhui,YAN Junwei.Display of difference among aerial triangulation models based on improved triangulated irregular network[J].Hydrographic Surveying and Charting,2021(6):23-26.
Authors:XIE Zhigang  TAN Xiao  XIN Xianhui  YAN Junwei
Institution:32022 Troops,Wuhan 430074 ,China;Department of Operational Planning and Management,Naval University of Engineering,Wuhan 430033 ,China;Naval Research Institute,Tianjin 300061 ,China
Abstract:In order to mark the points and error area beyond limitation lively and quickly,reveal the regional relation of error globally,preference guidance to adding ties for triangulation modification to improve the accuracy and efficiency,this paper proposed a method for display of difference among aerial triangulation models based on the improved Delaunay triangulation network by data block and point insertion,by which the points beyond limitation and latent area out of control are displayed according to the topological relationship of triangulation network.The experimental results with 84 satellite images validate that the method can quickly display the difference area of aerial triangulation and explore the relationship between these areas,which is helpful to reveal the error distribution peculiarity of aerial triangulation and preference areas above error limitation.The proposed method offers an efficient solution to the new difference detection problem among triangulation models.
Keywords:
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