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Large Area DEM Generation Using Airborne LiDAR Data and Quality Control

机译:利用机载LiDAR数据和质量控制进行大面积DEM生成

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Digital Elevation Model (DEM) is a crucial component in terrain-related applications.Researches on terrain data collection and DEM generation have received great attention.Traditional methods such as field surveying and photogrammetry can yield high accuracy terrain data,but they are time consuming and labour intensive,especially for large area.Airborne Light Detection and Ranging (LiDAR) -also referred to as Airborne Laser Scanning (ALS),provides an alternative for high density and high accuracy three dimensional terrain point data acquisition.LiDAR data have become a major source of digital terrain information and has been used in a wide of areas,with terrain modeling being the primary focus of most LiDAR collection missions.The use of LiDAR for terrain data collection and DEM generation is the most effective way and is becoming a standard practice in spatial science community.Although LiDAR data has become more affordable for users due to the gradually dropping of the costs of LiDAR data collection,how to effectively process the raw LiDAR data and extract useful information remains a big challenge.This paper presented ways to generate a high quality DEM in a large catchment area using LiDAR data.A number of research challenges such as terrain modeling methods,interpolation algorithms,DEM resolution,and data reduction were identified and discussed in detail for quality control ofa LiDAR-derived DEM.
机译:数字高程模型(DEM)是与地形相关的应用程序中的关键组成部分。有关地形数据收集和DEM生成的研究受到了广泛的关注。诸如田野测量和摄影测量等传统方法可以生成高精度的地形数据,但它们既费时又费力。机载光检测和测距(LiDAR)-也称为机载激光扫描(ALS),为高密度和高精度三维地形点数据采集提供了一种替代方案。LiDAR数据已成为主要数字地形信息的来源并已被广泛使用,地形建模是大多数LiDAR收集任务的主要重点。使用LiDAR进行地形数据收集和DEM生成是最有效的方法,并且正在成为一种标准做法尽管LiDAR的成本逐渐下降,但对于用户来说,LiDAR数据变得更加负担得起。数据收集,如何有效处理原始LiDAR数据并提取有用信息仍然是一个巨大的挑战。本文提出了使用LiDAR数据在大流域生成高质量DEM的方法。确定并讨论了用于LiDAR衍生DEM的质量控制的插值算法,DEM分辨率和数据缩减。

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