發(fā)布時(shí)間：2018-03-23 02:09

  本文選題：傾斜影像　切入點(diǎn)：密集匹配點(diǎn)云　出處：《測(cè)繪通報(bào)》2016年12期 　論文類型：期刊論文

【摘要】：以傾斜影像密集匹配點(diǎn)云數(shù)據(jù)為研究對(duì)象,提出了一種快速提取建筑物單體點(diǎn)云模型的方法。首先通過(guò)過(guò)濾地面點(diǎn)云數(shù)據(jù)以實(shí)現(xiàn)地物分離,采用高程頻率直方圖確定植被點(diǎn)云的高程區(qū)間并予以剔除。然后采用基于密度的聚類分析算法對(duì)剩余建筑物頂部點(diǎn)云進(jìn)行了聚類。最后根據(jù)每棟獨(dú)立建筑物屋頂點(diǎn)云的坐標(biāo)范圍,從原始點(diǎn)云數(shù)據(jù)中提取了每棟獨(dú)立建筑物的完整點(diǎn)云,實(shí)現(xiàn)了對(duì)于傾斜影像密集匹配點(diǎn)云的單體化提取。
[Abstract]:Based on the dense matching point cloud data of inclined image, a fast method for extracting the single point cloud model of buildings is proposed. Firstly, the ground point cloud data are filtered to realize the separation of ground objects. The elevation frequency histogram is used to determine the height interval of the point cloud of vegetation and to eliminate it. Then the cluster analysis algorithm based on density is used to cluster the point cloud at the top of the remaining building. Finally, according to the roof of each independent building, the point cloud is clustered. The coordinate range of the point cloud, The complete point cloud of each individual building was extracted from the original point cloud data, and the single point cloud was extracted from the dense matching point cloud of inclined image.
【作者單位】： 信息工程大學(xué);
【分類號(hào)】：P23
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本文編號(hào)：1651416