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首页> 外文会议>Symposium on multispectral image processing and pattern recognition >Building Outline Detection based on Height and Intensity information of Airborne Laser Scanning Data
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Building Outline Detection based on Height and Intensity information of Airborne Laser Scanning Data

机译：基于机载激光扫描数据的高度和强度信息的建筑物轮廓检测

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摘要

Urban environment is extremely complex due to a multitude of features with different heights and structures. Traditional methods available to extract information regarding the buildings by using optical remote sensing images are highly labor-intensive and time-consuming. This paper developed a new method to detect building outlines based on height and intensity information of Airborne LiDAR data. Texture, relative height and intensity characteristics were first extracted from the LiDAR point cloud. Then, Support Vector Data Description was used to detect buildings with training knowledge. Finally, building outlines were obtained after data post process including small region removal, raster to vector conversion and so on. Experiments show the method proposed in this study is reliable and could be widely used in other urban areas.
机译：由于具有不同高度和结构的众多特征，城市环境极为复杂。通过使用光学遥感图像来提取有关建筑物的信息的传统方法非常费力且费时。本文开发了一种基于机载LiDAR数据的高度和强度信息的建筑物轮廓检测新方法。首先从LiDAR点云中提取纹理，相对高度和强度特征。然后，使用支持向量数据描述来检测具有训练知识的建筑物。最后，在数据发布后（包括小区域删除，栅格到矢量的转换等）获得了建筑物轮廓。实验表明，本文提出的方法是可靠的，可以在其他城市地区广泛使用。

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