| 基于图割算法的摄影测量点云面向对象分类方法 |
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| 引用本文： | 郑特,邹峥嵘,张云生,杜守基,何雪.基于图割算法的摄影测量点云面向对象分类方法[J].测绘工程,2018(3):16-19. |
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| 作者姓名： | 郑特 邹峥嵘 张云生 杜守基 何雪 |
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| 作者单位： | 中南大学 地球科学与信息物理学院,湖南 长沙,410083 |
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| 基金项目： | 卫星测绘技术与应用国家测绘地理信息局重点实验室开放基金，国家重点基础研究发展计划资助项目(973计划)，国家自然科学基金资助项目 |
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| 摘 要： | 针对摄影测量点云分类问题,提出一种基于图割算法的面向对象分类方法。由于摄影测量点云质量相对较差,文中首先基于区域增长分割思想,提出一种新的点云体素生成方法,将摄影测量点云聚为不同的对象;然后将不同的对象作为节点,将分类问题建模为一个多标记问题,引入图割算法优化获取邻域内平滑一致的分类结果。利用两组摄影测量点云数据进行实验,正确率分别为87.3%和88.7%,比基于单点的分类方法分别提高2%和2.6%。
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| 关 键 词： | 摄影测量点云 点云分类 超体素 面向对象 图割 photogrammetric point cloud point cloud classification supervoxels object-based graph cut |
An object-based photogrammetric point cloud classification method using a graph cuts algorithm |
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| ZHENG Te,ZOU Zhengrong,ZHANG Yunsheng,DU Shouji,HE Xue.An object-based photogrammetric point cloud classification method using a graph cuts algorithm[J].Engineering of Surveying and Mapping,2018(3):16-19. |
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| Authors: | ZHENG Te ZOU Zhengrong ZHANG Yunsheng DU Shouji HE Xue |
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| Abstract: | Aiming at the classification problem of photogrammetric point cloud, an object-based classification method using a graph cuts algorithm is proposed.Due to the relative poor quality of the photogrammetric point cloud,this paper firstly proposes a new supervoxels generating method to segment the photogrammetric point cloud into different objects based on the idea of region growing.After that,the classification problem is modeled as a multi-label task,w hile different objects are treated as nodes and the graph cuts algorithm is used to obtain a consistent classification result.The correct rates on two groups of data sets are 87.3% and 88.7%,w hich are 2% and 2.6% higher than the result in using point-based classification method. |
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| 本文献已被 CNKI 万方数据 等数据库收录！ |
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