本文選題：激光測(cè)距 + 虛擬格網(wǎng)�。� 參考：《西安電子科技大學(xué)》2014年碩士論文

【摘要】：機(jī)載LiDAR(Light Detection and Ranging，激光探測(cè)與測(cè)量)技術(shù)是一種嶄新的遙感技術(shù)。機(jī)載LiDAR融合了激光測(cè)距技術(shù)手段和測(cè)量方法，它能夠主動(dòng)、快速、精確獲取地面和目標(biāo)的三維空間信息，給人們帶來(lái)了新型的觀測(cè)途徑。如何有效的把海量點(diǎn)云數(shù)據(jù)規(guī)則或半規(guī)則的組織起來(lái)，對(duì)后續(xù)的數(shù)字產(chǎn)品生產(chǎn)和應(yīng)用都起到關(guān)鍵作用。數(shù)據(jù)濾波DEM（Digital Elevation Model，數(shù)字高程模型)生產(chǎn)技術(shù)是已經(jīng)成為L(zhǎng)iDAR數(shù)據(jù)處理的最基礎(chǔ)工作。本文圍繞數(shù)據(jù)濾波采用改進(jìn)hash鏈表的虛擬格網(wǎng)組織方式組織機(jī)載LiDAR點(diǎn)云數(shù)據(jù)，并在此基礎(chǔ)上改進(jìn)形態(tài)學(xué)濾波方法。主要研究工作和創(chuàng)新成果如下： 1.系統(tǒng)闡述了機(jī)載LiDAR的歷史及背景，總結(jié)了國(guó)內(nèi)外的研究現(xiàn)狀，詳細(xì)分析了數(shù)據(jù)處理的難點(diǎn)，為后續(xù)點(diǎn)云數(shù)據(jù)的組織和濾波算法設(shè)計(jì)提供理論依據(jù)和數(shù)據(jù)支持。 2.介紹機(jī)載LiDAR系統(tǒng)的組成結(jié)構(gòu)，各個(gè)部件獲得數(shù)據(jù)，經(jīng)最終解算得到LiDAR數(shù)據(jù)。介紹機(jī)載LiDAR數(shù)據(jù)的處理流程，并結(jié)合LiDAR數(shù)據(jù)常用處理軟件TerraSolid，對(duì)每步數(shù)據(jù)處理操作和用途做了詳細(xì)的介紹。 3.總結(jié)機(jī)載LiDAR點(diǎn)云數(shù)據(jù)的常用組織方式，針對(duì)數(shù)據(jù)量大、數(shù)據(jù)查找頻繁地操作特點(diǎn)，提出一種簡(jiǎn)單的基于hash鏈表的改進(jìn)的虛擬格網(wǎng)組織方式，該組織方式采用hash鏈表原理，結(jié)合虛擬格網(wǎng)和四叉樹(shù)優(yōu)點(diǎn)，且具有簡(jiǎn)單、快速的優(yōu)勢(shì)。 4.改進(jìn)了基于虛擬格網(wǎng)數(shù)據(jù)組織結(jié)構(gòu)的形態(tài)學(xué)濾波算法。數(shù)組組織采用基于虛擬格網(wǎng)的數(shù)據(jù)組織方式，，避免對(duì)原始數(shù)據(jù)進(jìn)行重采樣損失精度。利用最大建筑物的之間作為最大窗口的閾值條件，對(duì)前后兩次形態(tài)學(xué)開(kāi)運(yùn)算的結(jié)果進(jìn)行判斷，提高濾波的準(zhǔn)確度，避免簡(jiǎn)單的閾值和單一的窗口對(duì)地形數(shù)據(jù)的損失。通過(guò)實(shí)驗(yàn)分析證明，算法具有很強(qiáng)的適應(yīng)性、準(zhǔn)確性，在城區(qū)等相對(duì)比較平坦的地形具有良好的濾波效果。
[Abstract]:Airborne LiDAR (Light Detection and angling) technology is a new remote sensing technology. Airborne LiDAR combines laser ranging technology with measurement method. It can acquire 3D spatial information of ground and target actively, quickly and accurately, which brings people a new way of observation. How to effectively organize the rules or semi-rules of massive point cloud data plays a key role in the subsequent production and application of digital products. Data filtering Dem (Digital elevation Model) production technology has become the most basic work of LiDAR data processing. In this paper, the point cloud data of airborne LiDAR are organized by virtual grid with improved hash linked list around data filtering, and the morphological filtering method is improved. The main research and innovative results are as follows: 1. In this paper, the history and background of airborne LiDAR are described systematically, the research status at home and abroad is summarized, and the difficulties of data processing are analyzed in detail, which provides theoretical basis and data support for the organization of point cloud data and the design of filtering algorithm. 2. The structure of the airborne LiDAR system is introduced. The data of each component are obtained and the LiDAR data are obtained by the final solution. This paper introduces the processing flow of airborne LiDAR data and introduces in detail the operation and usage of each step data processing with the commonly used software TerraSolid. This paper summarizes the common organization methods of airborne LiDAR point cloud data. According to the characteristics of large amount of data and frequent operation of data lookup, a simple and improved virtual grid organization method based on hash linked list is proposed, which adopts the principle of hash linked list. Combine the advantages of virtual grid and quadtree, and have the advantages of simple and fast. 4. The morphological filtering algorithm based on virtual grid data organization structure is improved. Array organization is based on virtual grid to avoid resampling and losing precision of raw data. By using the threshold condition between the maximum buildings as the maximum window, the results of the two morphological operations before and after are judged to improve the accuracy of filtering and to avoid the loss of topographic data caused by simple threshold and single window. The experimental results show that the algorithm has strong adaptability, accuracy and good filtering effect in relatively flat terrain such as urban area.
【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TP79;TN713

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