Monte-carlo-simulation in Close-range Photogrammetry
Monte-carlo-simulation in Close-range Photogrammetry
复制标题
近距离摄影测量中的蒙特卡罗模拟
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
Wg
中科院分区：
文献类型：
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作者：
H. Hastedt;V. Commission;Wg
光学测量技术的过程链可以细分为四个主要部分：相机系统、目标范围、网络设计和分析系统。所包括的影响（例如，相机几何形状、照明、图像测量算法）由于对摄影测量系统的影响不充分而导致结果的剩余偏差。本文将介绍一种基于蒙特卡罗方法的仿真技术，用于分析摄像机几何形状、物体空间、信号和照明的影响。前两个主题将基于仿真结果进行讨论。它允许更仔细地观察单个系统组件，它们的不确定性和随机分布，同时估计它们对摄影测量系统的影响。所描述的蒙特卡罗模拟提供了一种经济的过程，其中可以在可接受的时间和工作量内分离和建模效果。它能够确定最佳的系统组件（例如，信号，照明，相机几何形状，分析），此外，由于给定（固定）系统组件，可以估计它们对流程链的影响。
The process chain in optical measurement techniques can be subdivided into four main components: the camera system, the object range, the network design and the analysis system. The included influences (e.g. camera geometry, illumination, algorithms for image measurement) cause remaining deviations on the results due to insufficiently known effects on the photogrammetric system. This article will introduce a simulation technique based on Monte-Carlo-Methods to analyse effects of camera geometry, object space, signalisation and illumination. First two topics will be discussed based on simulation results. It allows a closer look at single system components, their uncertainty and randomly distribution simultaneously to the estimation of their influence on the photogrammetric system. The described Monte-Carlo-Simulation provides an economical process where the effects can be separated and modelled within an acceptable period of time and amount of work. It enables the determination of optimal system components (e.g. signalisation, illumination, camera geometry, analysis) and, in addition, the estimation of their influences on the process chain due to given (fixed) system components.