Abstract Digital Surface Models (DSMs) are commonly built using data collected via remote sensing techniques such as aerial photogrammetry, LiDAR, and InSAR. DSM accuracy mainly depends upon the type of data used beside the methodology followed. The highest accuracy can be achieved when using a land surveying data which takes more time and costs a lot. The objective of this study is to present a quick approach for constructing high resolution DSM for road elements based on land surveying data. This approach is called Field-To-Finish (FTF), it is a process of converting surveying data into final graphical files based on the characteristics of the points and the accompanying code. To illustrate the proposed approach and assess the accuracy comparing with the traditional method, a case study was presented. We found that the FTF is superior to the traditional method on more than one level. The number of observed points, the time for surveying field work and for drafting were reduced. The methodology adopted in this study for obtaining DSM has proven to produce a digital model which is suitable for production engineering charts of scale 1: 100 that can be used in many scientific and practical applications related to civil infrastructure.

中文翻译：

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FTF：一种用于构建道路要素高分辨率数字表面模型的快速测量方法

摘要 数字表面模型 (DSM) 通常使用通过航空摄影测量、激光雷达和 InSAR 等遥感技术收集的数据构建。DSM 准确性主要取决于所使用的数据类型以及所遵循的方法。当使用需要更多时间和成本的土地测量数据时，可以获得最高精度。本研究的目的是提出一种基于土地测量数据为道路元素构建高分辨率 DSM 的快速方法。这种方法称为Field-To-Finish (FTF)，它是根据点的特征和随附的代码将测量数据转换为最终图形文件的过程。为了说明所提出的方法并评估与传统方法相比的准确性，提供了一个案例研究。我们发现 FTF 在不止一个层面上优于传统方法。减少了观察点的数量，减少了测量现场工作和起草的时间。本研究采用的获取 DSM 的方法已被证明可以生成数字模型，该模型适用于比例为 1:100 的生产工程图表，可用于与民用基础设施相关的许多科学和实际应用。