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作 者:刘茂华[1] 陈杰[1] 陈晗琳 LIU Mao-hua;CHEN Jie;CHEN Han-lin(School of Transportation and Geomatics Engineering,Shenyang Jianzhu University,Shenyang 110168,China)
机构地区:[1]沈阳建筑大学交通与测绘工程学院,沈阳110168
出 处:《科学技术与工程》2023年第36期15360-15369,共10页Science Technology and Engineering
基 金:国家自然科学基金(4210010785);住房和城乡建设部科学计划项目(2022-R-063)。
摘 要:为了提升城市建筑物提取完整度并消除植物的影响,提出一种向量角度差和拟合曲线融合的建筑物提取方法。该方法以扫描线为研究对象,通过计算相邻方向向量角度差提取平面屋顶;利用曲线拟合计算同一扫描线内数据点的残差值,基于多数抽样样本建立残差阈值进而提取曲面屋顶;最后,通过细化后处理完成建筑物提取。选取典型城市实验区数据集,并与成熟的不规则三角网法(triangulated irregular network,TIN)进行对照实验。结果表明:所提方法能够更有效地提取曲面建筑以及抑制植物的影响,测区总体精度和kappa系数分别为98.96%和0.9148,优于TIN算法。该方法具有运算简单,稳定性高等特点,为有效解决曲率复杂和具有高差突变性的建筑物屋顶提取问题提供了思路。In order to improve the completeness of the extraction of urban buildings and eliminate the influence of plants,a building extraction method combining vector angle difference and fitting curve was proposed.This method took the scan line as the research object,the flat roof was extracted by calculating the angle difference of adjacent direction vectors.The curve fitting was used to calculate the residual value of the data points in the same scan line,and the residual threshold was established based on most sampling samples to extract the curved roof.Finally,the building was extracted through refined post-processing.A typical urban experimental area data set was selected,and a control experiment was conducted with the mature triangulated irregular network(TIN).The results show that the proposed method can more effectively extract curved buildings and restrain the influence of plants,the overall accuracy of the survey area and kappa coefficient are 98.96%and 0.9148,respectively,which are better than the TIN algorithm.The proposed method has the characteristics of simple operation and high stability,and provides an idea for effectively solving the problem of building roof extraction with complex curvature and sudden height difference.
关 键 词:机载航空激光雷达(LiDAR) 扫描线 建筑物点云提取 融合 向量差 拟合曲线
分 类 号:P237[天文地球—摄影测量与遥感]
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