本文選題：車載激光雷達(dá) + 點(diǎn)云濾波　； 參考：《長春理工大學(xué)》2017年碩士論文

【摘要】：車載激光雷達(dá)技術(shù)作為一種新興的城市測(cè)量技術(shù),為重建逼真的建筑物三維模型提供了一種新途徑。本文在研究車載激光雷達(dá)對(duì)地定位原理、點(diǎn)云數(shù)據(jù)特點(diǎn)及各類激光雷達(dá)建筑物建模方法的基礎(chǔ)上,確定車載激光雷達(dá)建筑物建模方案。首先,依據(jù)城市點(diǎn)云數(shù)據(jù)特點(diǎn),提出一種基于坡度差值的點(diǎn)云濾波方法,通過對(duì)比實(shí)驗(yàn),驗(yàn)證該方法濾波的高效性與實(shí)用性。此外,設(shè)定參數(shù)閾值并利用隨機(jī)抽樣一致性算法,對(duì)建筑物立面點(diǎn)云進(jìn)行分割并通過實(shí)驗(yàn)分析距離閾值設(shè)定對(duì)處理結(jié)果的影響。然后,通過改進(jìn)基于語義識(shí)別的建筑物立面外輪廓提取方法并結(jié)合基于投影點(diǎn)密度格網(wǎng)化的建筑物內(nèi)輪廓提取方法完成建筑物輪廓特征提取。最后,利用提取出的建筑物輪廓結(jié)合面片拓?fù)潢P(guān)系,構(gòu)建建筑物幾何框架并將其中的特征數(shù)據(jù)編寫成DXF文件,導(dǎo)入AtuoCAD中,自動(dòng)生成模型并利用3DMAX軟件對(duì)重建的建筑物模型進(jìn)行紋理貼圖使其更加形象逼真。本文以車載激光雷達(dá)系統(tǒng)獲取的街區(qū)原始點(diǎn)云數(shù)據(jù)為基礎(chǔ),以城市建筑物數(shù)字化建模為主要研究內(nèi)容,對(duì)車載激光雷達(dá)點(diǎn)云數(shù)據(jù)濾波、建筑物立面點(diǎn)云分割、建筑物立面輪廓提取及建筑物建模等方面進(jìn)行了著重研究,在算法與理論方面取得了一定進(jìn)展,為城市數(shù)字化建模提供了可靠的理論依據(jù),具有一定的參考價(jià)值。
[Abstract]:As a new urban measurement technology, vehicle-mounted lidar provides a new way to reconstruct realistic 3D building models. Based on the study of the principle of vehicle lidar location, the characteristics of point cloud data and the modeling methods of various lidar buildings, the building modeling scheme of vehicular lidar is determined in this paper. Firstly, according to the characteristics of urban point cloud data, a point cloud filtering method based on gradient difference is proposed. The effectiveness and practicability of the filtering method are verified by comparative experiments. In addition, the parameter threshold is set and the random sampling consistency algorithm is used to segment the elevation point cloud of the building. The effect of the distance threshold setting on the processing results is analyzed experimentally. Then, building contour feature extraction is accomplished by improving the method of extracting the outer contour of building elevation based on semantic recognition and combining with the contour extraction method based on projection point density mesh. Finally, the geometric frame of the building is constructed by using the extracted building contour and the topological relation of the facet, and the characteristic data is written into DXF file and imported into AtuoCAD. The model is generated automatically and the reconstructed building model is textured by 3DMAX software to make it more vivid. Based on the original point cloud data obtained by vehicle lidar system, the digital modeling of urban buildings is the main research content in this paper. The point cloud data of vehicle lidar is filtered, and the elevation cloud of buildings is segmented. In this paper, the extraction of building facade contour and building modeling are emphatically studied, and some progress has been made in algorithm and theory, which provides a reliable theoretical basis for urban digital modeling and has certain reference value.
【學(xué)位授予單位】：長春理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：P225;TN958.98

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本文編號(hào)：1905612