| 利用线特征进行高分辨率影像与LiDAR点云的配准 |
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| 引用本文： | 马洪超,姚春静,邬建伟.利用线特征进行高分辨率影像与LiDAR点云的配准[J].武汉大学学报(信息科学版),2012,37(2):136-140,159. |
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| 作者姓名： | 马洪超 姚春静 邬建伟 |
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| 作者单位： | 1. 武汉大学遥感信息工程学院,武汉市珞喻路129号430079／武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号430079
2. 武汉大学遥感信息工程学院,武汉市珞喻路129号,430079 |
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| 基金项目： | 国家863计划资助项目，国家973计划资助项目 |
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| 摘 要： | 试图从离散点云数据中寻找影像的同名点是非常困难的,因此传统的基于同名特征点的配准方法难以使用。应用共线方程作为严格配准模型,利用LiDAR点云空间中的线特征替代传统配准模型中的点特征,取得了高精度的配准结果,同时对点云密度和影像分辨率之间的尺度关系进行了半定量分析。
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| 关 键 词： | 机载激光雷达 线特征 配准 尺度分析 |
Registration of LiDAR Point Clouds and High Resolution Images Based on Linear Features |
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| MA Hongchao,YAO Chunjing,WU Jianwei.Registration of LiDAR Point Clouds and High Resolution Images Based on Linear Features[J].Geomatics and Information Science of Wuhan University,2012,37(2):136-140,159. |
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| Authors: | MA Hongchao YAO Chunjing WU Jianwei |
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| Institution: | 1(1 School of Remote Sensing and Information Engineering,Wuhan University,129 Luoyu Road,Wuhan 430079,China)(2 State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University, 129 Luoyu Road,Wuhan 430079,China) |
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| Abstract: | To find tie points from semi-randomly distributed point clouds is difficult,though such a task can be completed much easier in terms of images.Therefore,conventional imageto-image registration algorithms are no longer valid,where tie points are the main features for calculating registration parameters.We take the collinearity equation as a strict mathematical model for registration,and replace point features by linear ones through the parametric form of a straight line.High accuracy registration results have been achieved by such a manner.Meanwhile,semi-quantitative analysis is conducted in terms of the relationship between the image resolution and the LiDAR point density,which,to the author’s best knowledge,has never been performed in literature. |
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| Keywords: | LiDAR system linear features registration image resolution analysis |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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