| 布料模拟法无人机倾斜摄影建筑点云提取 |
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| 引用本文： | 王果,王强,刘绍堂,杨福芹,赵光兴,杨彬.布料模拟法无人机倾斜摄影建筑点云提取[J].测绘通报,2020,0(10):97-100. |
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| 作者姓名： | 王果 王强 刘绍堂 杨福芹 赵光兴 杨彬 |
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| 作者单位： | 1. 河南工程学院土木工程学院, 河南 郑州 451191;2. 天津师范大学天津市地理空间信息技术工程中心, 天津 300387;3. 湖南大学电气与信息工程学院, 湖南 长沙 410082 |
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| 基金项目： | 国家自然科学基金（42001412）；广西重点研发计划（桂科AB18050014）；河南省科技攻关计划项目（202102310333）；河南省高等学校重点科研项目（18B170003）；河南工程学院博士基金（D2015040） |
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| 摘 要： | 受布料模拟滤波思想的启发，本文提出一种基于无人机倾斜摄影密集匹配点云的建筑提取新方法。该方法引入布料模拟进行建筑顶面的初步识别，通过模拟布料下落过程，分析布料与对应密集匹配点云之间的作用，确定布料由重力下降后所停留的位置作为建筑顶面的初步识别，然后通过密度聚类算法进行建筑区分，从而实现建筑物顶面的单体化提取。通过实测数据进行试验，结果表明，该方法能取得较好的效果，为基于密集匹配点云的建筑物提取提供一种新思路。
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| 关 键 词： | 无人机倾斜摄影 密集匹配点云 布料模拟 密度聚类 建筑提取 |
| 收稿时间： | 2020-03-12 |
| 修稿时间： | 2020-05-07 |
Method of building extraction from UAV oblique photography point cloud based on cloth simulation |
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| WANG Guo,WANG Qiang,LIU Shaotang,YANG Fuqin,ZHAO Guangxing,YANG Bin.Method of building extraction from UAV oblique photography point cloud based on cloth simulation[J].Bulletin of Surveying and Mapping,2020,0(10):97-100. |
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| Authors: | WANG Guo WANG Qiang LIU Shaotang YANG Fuqin ZHAO Guangxing YANG Bin |
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| Institution: | 1. Institute of Civil Engineering, Henan University of Engineering, Zhengzhou 451191, China;2. Tianjin Geospatial Information Technology Engineering Centre, Tianjin Normal University, Tianjin 300387, China;3. School of Electrical and Information Engineering, Hunan University, Changsha 410082, China |
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| Abstract: | Inspired by the idea of cloth simulation filtering, this paper presents a new method of building extraction from dense matching point cloud based on UAV oblique photography. The method introduces cloth simulation to identify the top of the building as the first step. By simulating the falling process of cloth, the function between cloth and corresponding dense matching point cloud is analyzed, and the position where cloth stays after gravity falling is determined as the building top. And then buildings are distinguished by the density clustering algorithm so as to realize the monomer extraction of the building top surface. The experimental results show that the method can achieve better results and provide a new idea for building extraction from dense matching point cloud based on UAV oblique photography. |
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| Keywords: | UAV based oblique photography dense matching point cloud cloth simulation density clustering building extraction |
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