虚拟格网分类支持下的密集匹配点云布料模拟滤波  

Cloth simulation filtering method of dense matching point cloud based on virtual grid classification

作　　者：石壮 杜全叶[2] 王庆栋[2] 马东岭[3] 崔琰[3] SHI Zhuang;DU Quanye;WANG Qingdong;MA Dongling;CUI Yan(Lanzhou Jiaotong University,Lanzhou 730070,China;Chinese Academy of Surveying and Mapping,Beijing 100830,China;Shandong Jianzhu University,Jinan 250102,China)

机构地区：[1]兰州交通大学,甘肃兰州730070 [2]中国测绘科学研究院,北京100830 [3]山东建筑大学,山东济南250102

出　　处：《测绘通报》2022年第2期73-76,77,共5页Bulletin of Surveying and Mapping

基　　金：面向国产化计算机硬件和操作系统的PixelGrid卫星影像处理软件适配化改造研究(AR2002);国家重点研发计划(2019YFB1405600);国家自然科学基金青年基金(51708335);山东省自然科学基金(ZR2020MD025);山东省高等学校科技计划(J18KA183)。

摘　　要：为了提高倾斜影像密集匹配点云滤波算法在地形复杂场景的精度、效率及自适应性,针对传统的布料模拟滤波算法的不足,本文提出了一种基于虚拟格网分类的布料模拟滤波方法。该方法首先构建带有缓冲区的虚拟格网;然后将虚拟格网按其范围内的点云坡度划分为平地、缓坡、陡坡3种类型;最后针对不同类型的虚拟格网,使用相应的布料参数进行布料模拟滤波,从而实现倾斜影像匹配点云在地形复杂场景中的点云滤波,与单一参数的布料模拟滤波进行对比试验。结果表明,基于虚拟格网分类的布料模拟滤波方法结果更接近于目视解译,该方法适合混合地形滤波。In order to improve the accuracy, efficiency and adaptability of the dense matching point cloud filtering algorithm for oblique images in complex terrain scenes, for the shortage of the traditional cloth simulation filtering algorithm, this paper proposes a cloth simulation filtering method based on virtual grid classification. Firstly, this method constructs a virtual grid with a buffer zone;And then divides the virtual grid into three types: flat ground, gentle slope, and steep slope according to the point cloud slope within its range;Finally, different types of virtual grids use the corresponding cloth parameters for cloth simulate filtering, then realize the point cloud classification of oblique image matching point cloud in complex terrain scenes. The results are compared with the single-parameter cloth simulation filtering. The experiment show that the results of the cloth simulation filtering method based on virtual grid classification are closer to the result of visual interpretation, and this method is suitable for hybrid terrain filtering.

关 键 词：影像匹配点云 点云滤波 虚拟格网 地形特征 布料模拟滤波 

分 类 号：P23[天文地球—摄影测量与遥感]