本文選題：機載激光雷達 + 點云數(shù)據(jù)��； 參考：《中南大學》2012年碩士論文

【摘要】：機載激光雷達是一種能夠自動快速的獲取高精度、高密度的地球表面三維坐標信息的新型遙感技術。機載激光雷達技術是一種以飛機為平臺,集激光測距技術、動態(tài)GPS差分技術、動態(tài)高精度姿態(tài)測量單元于一體的主動對地觀測技術。機載激光雷達系統(tǒng)獲取的是被測目標的三維坐標數(shù)據(jù),這些數(shù)據(jù)是一系列空間分布不均勻的離散點云數(shù)據(jù),如何對這些數(shù)據(jù)進行濾波是目前國內外的研究熱點,目前現(xiàn)有濾波算法基本都不能自適應各種復雜的地形。 本文研究的主要內容是介紹了機載激光雷達技術的發(fā)展過程,分析了機載激光雷達各個組成部分的特點,系統(tǒng)的工作原理,激光掃描儀的工作方式,以及系統(tǒng)的誤差來源。比較了機載激光雷達系統(tǒng)相對于傳統(tǒng)攝影測量的特點,進一步探討了激光雷達點云數(shù)據(jù)的特點、組織方式和其標準格式。然后深入研究總結了現(xiàn)有的濾波算法,現(xiàn)有的濾波算法主要有兩種：基于傳統(tǒng)的航空影像分類的原理；基于高程突變的原理�，F(xiàn)有的算法絕大多數(shù)都是基于高程突變的原理,在此基礎上本文提出了基于曲率的LiDAR點云數(shù)據(jù)剖析面帶濾波算法,以及基于TIN剔除非地面點生成DEM,并通過實驗論證了濾波算法的可行性、自適應性以及濾波效果。
[Abstract]:Airborne lidar is a new type of remote sensing technology which can automatically and quickly obtain the 3D coordinate information of the earth's surface with high precision and density. Airborne lidar technology is a kind of active earth observation technology which is based on aircraft platform, integrates laser ranging technology, dynamic GPS differential technology and dynamic high-precision attitude measurement unit. The airborne lidar system acquires 3D coordinate data of the target under test. These data are a series of discrete point cloud data with uneven spatial distribution. How to filter these data is a hot research topic at home and abroad. At present, the existing filtering algorithms can not adapt to various complex terrain. The main content of this paper is to introduce the development process of airborne lidar technology, and analyze the characteristics of each component of airborne lidar. The working principle of the system, the working mode of laser scanner, and the error source of the system. Compared with the traditional photogrammetry, the characteristics, organization and standard format of the point cloud data of the airborne lidar are discussed. Then the existing filtering algorithms are studied and summarized. There are two main filtering algorithms: based on the traditional theory of airborne image classification and based on the principle of elevation mutation. Most of the existing algorithms are based on the principle of elevation abrupt change. On this basis, a curvature based LiDAR point cloud data analysis surface band filtering algorithm is proposed in this paper. Based on tin, the non-ground point generation is generated, and the feasibility, adaptability and filtering effect of the filtering algorithm are demonstrated by experiments.
【學位授予單位】：中南大學
【學位級別】：碩士
【學位授予年份】：2012
【分類號】：P225.1

【引證文獻】

相關碩士學位論文 前1條

1 陳飛;基于機載LiDAR點云的道路提取方法研究[D];西南交通大學;2013年

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本文編號：2001959