测绘与空间地理信息2024,Vol.47Issue(z1) :303-306,309.

边角秩亏网测量方法研究

Research on Measurement Methods of Edge and Corner Rank Deficient Networks

侯彦彬 王群 赵卫丽
测绘与空间地理信息2024,Vol.47Issue(z1) :303-306,309.

边角秩亏网测量方法研究

Research on Measurement Methods of Edge and Corner Rank Deficient Networks

侯彦彬 1王群 1赵卫丽2
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作者信息

  • 1. 自然资源部第三地形测量队,黑龙江哈尔滨 150025
  • 2. 黑龙江地理信息工程院,黑龙江哈尔滨 150081
  • 折叠

摘要

秩亏自由网平差是一种不设定任何起算数据,而是根据观测数据的冗余度和几何强度,自动确定平差基准的平差方法.它可有效地解决控制网中缺乏起算数据或者不想设定任何起算数据的问题,从而提高控制网的精度和效率.在使用已知起算数据进行一般间接平差处理数据时存在结果精度不均匀或不满足工程要求的问题,本文利用Python编程语言完成有已知起算数据的经典间接平差程序和无需已知起算数据的边角秩亏网平差程序,分别对CPIII网点进行两种不同的平差计算处理,通过对比两种平差结果比对,验证边角秩亏网精度的均匀性和在进行缺乏起算数据或者不想设定任何起算数据的测量问题处理时秩亏自由网平差方法使用的必要性.

Abstract

Rank deficient free network adjustment is an adjustment method that does not set any initial data,but automatically deter-mines the adjustment benchmark according to the redundancy and geometric strength of observation data. It can effectively solve the problem of lacking initial data or not wanting to set any initial data in the control network,thereby improving the accuracy and efficien-cy of the control network. When using known initial data for general indirect adjustment processing,there is a problem of uneven accu-racy or non-compliance with engineering requirements. This article uses Python programming language to complete the classical indi-rect adjustment program with known initial data and the edge and angle rank deficient network adjustment program without known ini-tial data. Two different adjustment calculation processes are performed on CPⅢ nodes,and the two adjustment results are compared to verify the uniformity of the accuracy of the rank deficient free network of edges and corners and the necessity of using the rank deficient free network adjustment method when dealing with measurement problems that lack initial data or do not want to set any initial data.

关键词

秩亏网平差/经典间接平差/测量程序设计/Python

Key words

rank deficient network adjustment/classical indirect adjustment/measurement program design/Python

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出版年

2024
测绘与空间地理信息
黑龙江省测绘学会

测绘与空间地理信息

影响因子:0.788
ISSN:1672-5867
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