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ON OBJECT EXTRACTION USING AIRBORNE LASER SCANNER DATA AND DIGITAL IMAGES FOR 3D MODELLING

机译:基于空气载波扫描仪数据和3D模型数字图像的对象提取

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Airborne laser scanners are effective at extracting the micro topography or ground surface under trees, which cannot be detected by aerial photogrammetry, and are suitable for use in many applications, such as city modelling, DTM generation, monitoring electrical power lines, and detection of forest areas. The most remarkable aspect of these systems is their ability to acquire the 3D coordinates of huge object points in real-time. There are many studies on object extraction using point clouds from airborne laser scanner data, where the shape of an object depends on the density of a point. However, this is generally used for rough shapes or fitted geometric shapes. It is difficult to reconstruct detailed object shapes without many edge points, even if high-density point clouds are obtained. On the other hand, it is possible to acquire detailed object edges from digital camera images if the digital camera is equipped with an airborne laser scanner system. The procedures investigated in this paper for improving rough object shapes using airborne laser scanner data are as follows. Firstly, camera calibration is performed to integrate point clouds and digital images by simultaneous adjustment, such as by bundle adjustment with self-calibration using distance data taken directly from airborne laser scanner data. Secondly, the rough 3D object shape is extracted from the point cloud using normal vectors. Moreover, visualization of normal vectors is used for operator interpretation. Thirdly, the rough 3D object shape is converted into the image coordinates of multiple images by a collinearity condition. The 2D coordinates of detailed image shapes are acquired using characteristic image quantities from around the rough shape. Finally, the detailed 3D shape is computed using the spatial intersection of the 2D coordinates of detailed shapes and the orientation parameters. This paper describes fundamental studies for extracting object shapes for 3D modelling using airborne laser scanner data and digital images.
机译:空气传播的激光扫描仪在树木下方提取微型或地面,这是通过空中摄影测量不能检测的微型形态或地面,并且适用于许多应用,例如城市建模,DTM生成,监控电力线和森林检测地区。这些系统中最显着的方面是他们实时获取巨大物体点的3D坐标。使用来自机载激光扫描仪数据的点云,对象提取有很多研究,其中物体的形状取决于点的密度。然而,这通常用于粗糙的形状或拟合的几何形状。即使获得高密度点云,也难以在没有许多边缘点的情况下重建详细的物体形状。另一方面,如果数码相机配备有空降激光扫描系统,则可以从数码相机图像获取详细的物体边缘。本文研究了使用空机激光扫描仪数据改善粗糙物体形状的方法如下。首先,执行相机校准以通过同时调整来集成点云和数字图像,例如通过使用直接从机载激光扫描仪数据采用的距离数据进行自校准的束调节。其次,使用普通向量从点云提取粗略的3D对象形状。此外,正常载体的可视化用于操作员解释。第三,通过共线条件将粗略的3D对象形状转换为多个图像的图像坐标。使用来自粗糙形状的特征图像数量来获取详细图像形状的2D坐标。最后,使用详细形状的2D坐标的空间交叉点和方向参数来计算详细的3D形状。本文介绍了利用空气激光扫描仪数据和数字图像提取用于抽取3D建模的物体形状的基本研究。

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