期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN:2194-9042
电子版ISSN:2194-9050
出版年度:2004
卷号:XXXV Part B5
页码:18-23
出版社:Copernicus Publications
摘要: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.