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首页> 外文会议>Conference on Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003 Apr 23-25, 2003 Orlando, Florida, USA >A study of integration methods of aerial imagery and LIDAR data for high level of automation in 3D building reconstruction
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A study of integration methods of aerial imagery and LIDAR data for high level of automation in 3D building reconstruction

机译：航空影像与LIDAR数据集成方法在3D建筑物重建中实现高度自动化的研究

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This paper describes integration methods to increase the level of automation in building reconstruction. Aerial imagery has been used as a major source in mapping fields and, in recent years, LIDAR data became popular as another type of mapping resources. Regarding to their performances, aerial imagery has abilities to delineate object boundaries but leaves many missing parts of boundaries during feature extraction. LIDAR data provide direct information about heights of object surfaces but have limitation for boundary localization. Efficient methods using complementary characteristics of two sensors are described to generate hypotheses of building boundaries and localize the object features. Tree structures for grid contours of LIDAR data are used for interpretation of contours. Buildings are recognized by analyzing the contour trees and modeled with surface patches from LIDAR data. Hypotheses of building models are generated as combination of wing models and verified by assessing the consistency between the corresponding data sets. Experiments using aerial imagery and laser data are presented. Our approach shows that the building boundaries are successfully recognized through our contour analysis approach and the inference from contours and our modeling method using wing model increase the level of automation in hypothesis generation/verification steps.
机译：本文介绍了用于提高建筑物重建自动化水平的集成方法。航空影像已被用作制图领域的主要资源，近年来，激光雷达数据已成为另一种制图资源而流行。关于其性能，航空影像具有描绘对象边界的功能，但在特征提取过程中留下了许多边界缺失的部分。 LIDAR数据提供有关物体表面高度的直接信息，但对边界定位有限制。描述了使用两个传感器的互补特性的有效方法，以生成建筑物边界的假设并定位对象特征。 LIDAR数据的网格轮廓的树形结构用于轮廓的解释。通过分析轮廓树可以识别建筑物，并使用来自LIDAR数据的表面补丁进行建模。建筑模型的假设是通过机翼模型的组合生成的，并通过评估相应数据集之间的一致性进行了验证。提出了利用航空影像和激光数据进行的实验。我们的方法表明，通过我们的轮廓分析方法可以成功识别建筑物边界，从轮廓得出的推论以及我们使用机翼模型的建模方法可以提高假设生成/验证步骤的自动化水平。

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