| 融合影像的LiDAR点云数据分类方法 |
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| 引用本文： | 陈峥,徐祖舰. 融合影像的LiDAR点云数据分类方法[J]. 微计算机信息, 2011, 0(5) |
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| 作者姓名： | 陈峥 徐祖舰 |
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| 作者单位： | 重庆市电力公司沙坪坝供电局;重庆环图信息技术有限公司; |
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| 摘 要： | 提出一种融合影像的LiDAR点云分类算法。该算法首先采用渐进三角网加密方法对地面点和非地面点进行分类;接着采用本文所提出的坡度信息量的方法对非地面点进行分类为建筑物点和植被点;最后对于分类可信度不高的建筑物和植被粘连的区域,通过融合影像进一步区域分割。实验结果表明,该方法自动程度高,并且分类准确度高;在实验所用的区域,准确率达到83%。
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| 关 键 词： | 机载激光雷达 融合 分类 信息熵 |
Fusion of LiDAR and Imagery for Point Clouds Classification |
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| CHEN Zheng XU Zu-jian. Fusion of LiDAR and Imagery for Point Clouds Classification[J]. Control & Automation, 2011, 0(5) |
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| Authors: | CHEN Zheng XU Zu-jian |
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| Affiliation: | CHEN Zheng XU Zu-jian |
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| Abstract: | In this paper,we proposed a point cloudy classification algorithm with image fusion.In the algorithm,we first classify the ground points and non ground points by increasing triangle network method.Then we classify the construction points and plant points for the non ground points through slope information method which is proposed in this paper.Finally,we classify the lower reliability areas of constructions and plants by fusing image in further steps.The experiment result indicate the high level automation ... |
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| Keywords: | LiDAR fusion classification comentropy |
| 本文献已被 CNKI 等数据库收录！ |
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