【摘要】：針對車載激光掃描數(shù)據(jù)中桿狀目標(biāo)點(diǎn)云自動提取易受臨近地物干擾的問題,提出了一種基于掃描線聚類判別的桿狀目標(biāo)自動提取方法。該方法根據(jù)不同地物在掃描線數(shù)據(jù)中的形態(tài),設(shè)計(jì)了從單條掃描線到多條掃描線的數(shù)據(jù)處理流程。首先對單條掃描線上的點(diǎn)進(jìn)行距離聚類,得到不同的地物橫剖面點(diǎn)集;然后根據(jù)點(diǎn)集內(nèi)點(diǎn)的數(shù)量和桿狀目標(biāo)在掃描線上的分布形態(tài),對聚類點(diǎn)集進(jìn)行桿狀目標(biāo)種子點(diǎn)集判別;最后在疑似桿狀目標(biāo)種子點(diǎn)集的平面投影位置處,對多條掃描線進(jìn)行點(diǎn)集聚類和去噪處理得到桿狀目標(biāo)點(diǎn)云。實(shí)驗(yàn)分析表明,針對不同的激光掃描數(shù)據(jù),該方法能有效降低臨近地物干擾,提取出道路兩側(cè)的桿狀目標(biāo)。
[Abstract]:In order to solve the problem that point cloud extraction from vehicle laser scanning data is easy to be interfered with by adjacent objects, a method of automatic extraction of rod objects based on scanning line clustering discrimination is proposed. According to the shape of different ground objects in scanning line data, the data processing flow from single scan line to multiple scanning line is designed. Firstly, distance clustering of points on a single scan line is carried out to obtain different points set of cross-section of ground objects, and then, according to the number of points in the point set and the distribution form of the rod object on the scanning line, the cluster point set is distinguished from the seed point set of the rod object. Finally, at the plane projection position of the seed point set of the suspected rod target, the point cloud of the rod target is obtained by the point clustering and de-noising processing of several scanning lines. The experimental results show that the proposed method can effectively reduce the interference of adjacent objects and extract the rod-shaped targets on both sides of the road according to the different laser scanning data.
【作者單位】： 山東科技大學(xué)測繪科學(xué)與工程學(xué)院;
【基金】：海洋公益性行業(yè)科研專項(xiàng)(201305034-1) 國家重大儀器設(shè)備開發(fā)專項(xiàng)(2013YQ120343) 測繪公益性行業(yè)科研專項(xiàng)(201512034) 山東科技大學(xué)人才引進(jìn)科研啟動基金(2016RCJJ004)
【分類號】：P235

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