| 图像平滑在地面激光点云与影像融合中的应用 |
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| 引用本文： | 胡春梅,李天烁.图像平滑在地面激光点云与影像融合中的应用[J].四川激光,2014(9):45-49. |
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| 作者姓名： | 胡春梅 李天烁 |
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| 作者单位： | 1. 北京建筑大学测绘与城市空间信息学院,北京,100044
2. 北京建筑大学现代城市测绘国家测绘地理信息局重点实验室,北京,100044 |
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| 基金项目： | 北京市优秀人才培养项目(921914013)；(0092194013)北京市人才强教青年英才计划(21271413106)；北京建筑工程学院科学研究基金项目(331613015)；国家地理信息局科技计划 |
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| 摘 要： | 针对地面激光点云与影像数据的融合,提出一种利用激光点云反射强度值将点云三维数据化为二维图像信息,根据图像的情况从多种图像平滑的方法中利用图像客观质量评价选择出一种最优的图像平滑的方法将激光反射强度图像进行去噪,最后利用激光反射强度图像与影像的匹配得到同名点,从而实现激光点云数据与影像数据的配准达到数据的融合。
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| 关 键 词： | 图像平滑处理 激光点云 近景影像 配准 数据融合 |
The Application of Image Smoothness in the Fusion of LiDAR Point Cloud and Imagery |
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| HU Chun-mei,LI Tians-shuo.The Application of Image Smoothness in the Fusion of LiDAR Point Cloud and Imagery[J].Laser Journal,2014(9):45-49. |
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| Authors: | HU Chun-mei LI Tians-shuo |
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| Affiliation: | HU Chun-mei, LI Tians-shuo (1.School of Geomatics and Urban Information, Beijing University of Civil Engineering and Architecture, Beijing 100044, China; 2.Key Laboratory for Urban Geomatics of National Administrator of Surveying Mapping and Geoinformation, Beijing University of Civil Engineering and Architecture, Beijing 100044 Beijing 100044, China ) |
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| Abstract: | For the fusion of T-LiDAR point cloud and close-range image , it presents a method that laser point cloud reflection intensity values of the three-dimensional point cloud data would be taken into two-dimensional im-age information. Then using the objective image quality assessment from a variety of image smoothing method ac-cording to the situation of the image to select the optimal image of a smooth methods laser reflection intensity image to reduce the noise. Finally, matching the laser reflection intensity images and imagery to obtain the same name point to achieve the registration between the laser point cloud data and image data and the fusion of the two differ-ence data. |
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| Keywords: | Image Smooth Processing LiDAR Point Cloud Close-range Image Registration Data Fusion |
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