Estimation of average DEM accuracy under linear interpolation considering random error at the nodes of TIN model
文献类型:EI期刊论文
作者 | Dai Erfu |
发表日期 | 2005 |
关键词 | Error analysis Geographic information systems Interpolation Linearization Numerical methods Random errors Random processes Remote sensing |
英文摘要 | The concept of a digital elevation model (DEM) can be used for a digital representation of any single-valued surface such as a terrain relief model (digital terrain model, DTM). DEMs are widely used in remote sensing, geographical information systems (GIS), and virtual reality. Estimating the accuracy of a DEM is an essential issue in the acquisition of spatial data, particularly for applications that require a highly accurate DEM, such as engineering applications. The accuracy of a DEM is subject to many factors such as the number of sampling points, the spatial distributions of the sampling points, the methods used for interpolating surface elevations, the propagated error from the source data, and other factors. Of these factors, this study will focus on estimating the mean elevation error in a DEM surface that is caused by errors of component nodes in a triangulated irregular network (TIN). This paper will present a newly derived mathematical formula, with the details of the procedure used to derive this formula, to study the relationship between the errors at the TIN nodes and the propagated mean elevation error of a DEM surface that is linearly constructed from the TIN. We have verified the analytical formula by numerical simulation. The experimental results confirm the theoretical derivation of the formula. © 2005 Taylor & Francis. |
出处 | International Journal of Remote Sensing
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卷 | 26期:24页:5509-5523 |
收录类别 | EI |
语种 | 英语 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/24338] ![]() |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Dai Erfu. Estimation of average DEM accuracy under linear interpolation considering random error at the nodes of TIN model. 2005. |
入库方式: OAI收割
来源:地理科学与资源研究所
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