ALTERNATIVE APPROACHES FOR UTILIZING LIDAR DATA AS A SOURCE OF CONTROL INFORMATION FOR PHOTOGRAMMETRIC MODELS
ALTERNATIVE APPROACHES FOR UTILIZING LIDAR DATA AS A SOURCE OF CONTROL INFORMATION FOR PHOTOGRAMMETRIC MODELS
复制标题
利用激光雷达数据作为摄影测量模型控制信息源的替代方法
DOI：
--
复制
发表时间：
2004
期刊：
影响因子：
--
通讯作者：
E. Mitishita
中科院分区：
文献类型：
--
作者：
A. Habib;M. Ghanma;C. Kim;E. Mitishita
激光扫描（LIDAR）是一种最近的技术，正在受到越来越多的专业人员处理地图应用的兴趣。对激光雷达的兴趣归因于数据以密集的非选择性点的形式提供的丰富的几何表面信息。另一方面，立体图像的摄影测量处理提供了由很少的点表示的精确的表面模型以及关于拍摄对象的丰富的语义信息。考虑到摄影测量和激光雷达数据的性质，这两个系统显然提供了互补的信息。然而，只有在摄影测量和激光雷达模型相对于公共参考系成功对准/绝对定向后，才能充分利用互补信息。本文论述了两种替代方法，利用来自LIDAR数据的线性特征作为控制信息对准摄影测量模型相对于LIDAR参考系。第一种方法将激光雷达线作为控制信息直接在摄影测量三角测量。第二种方法首先通过使用任意基准面（无控制信息）通过摄影测量三角测量生成摄影测量模型。激光雷达功能，然后用作控制信息的摄影测量模型的绝对方向。推导了利用激光雷达特征进行摄影测量模型绝对定向的数学模型。这些特征可以使用各种方法从范围数据中提取。例如，可以通过分割技术从三维LIDAR数据中提取平面块。然后，相邻的平面片可以被分割以生成对应于对象空间不连续性的线性特征。LIDAR数据预处理的目的，特征提取是不是一个微不足道的任务。另一种更简单的方法是使用激光扫描仪记录的强度，直接从激光雷达数据中识别和提取线性特征。本文提出了一种定量分析的性能的不同方法提取线性特征的激光雷达数据。分析是基于激光雷达和摄影测量模型之间的最终对准的拟合质量。
Laser scanning (LIDAR) is a recent technology that is receiving an increasing interest from professionals dealing with mapping applications. The interest in LIDAR is attributed to the rich geometric surface information provided by the data in the form of dense non-selective points. On the other hand, photogrammetric processing of stereo-images provides an accurate surface model represented by few points as well as a wealth of semantic information about the photographed objects. Considering the nature of photogrammetric and LIDAR data, it is clear that the two systems provide complementary information. However, the complementary information can only be fully utilized after successful alignment/absolute orientation of the photogrammetric and LIDAR models relative to a common reference frame. This paper deals with two alternative approaches for utilizing linear features derived from LIDAR data as control information for aligning the photogrammetric model relative to the LIDAR reference frame. The first approach incorporates LIDAR lines as control information directly in a photogrammetric triangulation. The second approach starts by generating a photogrammetric model through a photogrammetric triangulation using an arbitrary datum (no control information). LIDAR features are then used as control information for the absolute orientation of the photogrammetric model. A mathematical model is derived to utilize the LIDAR features for the absolute orientation of the photogrammetric model. These features can be extracted from range data using various methods. For example, planar patches can be extracted from 3dimensional LIDAR data through segmentation techniques. Then, neighbouring planar patches can be intersected to generate linear features corresponding to object space discontinuities. LIDAR data pre-processing for the purpose of feature extraction is not a trivial task. An alternative and simpler approach is to use recorded intensities by laser scanners to directly identify and extract linear features from the LIDAR data. The paper presents a quantitative analysis of the performance of the different approaches for extracting linear features from the LIDAR data. The analysis is based on the quality of fit of the final alignment between the LIDAR and photogrammetric models.