Integrating high resolution air-borne linear CCD (TLS) imagery and LIDAR data

M. Nakagawa, R. Shibasaki
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引用次数: 8

Abstract

3D building modeling can be more easily generated with several methods. LIDAR data have high potential of automation; though they have such disadvantages as low resolution and no texture. On the other hand, generally, a resolution of the aerial images is higher than that of LIDAR data. The extraction of buildings from aerial images in dense urban environment is easier from aerial images than from LIDAR data. However, the fully automated 3D modeling of buildings from aerial images in dense urban environment is not successful. The objective of this research is to develop a methodology to automatically generate 3D modeling of buildings. The generation of 3D buildings data is done by integrating high resolution air-borne linear CCD, low resolution DSMs (created from LIDAR) and existing 2D digital maps. The detail representation of roof shapes such as gables is created by using the knowledge of buildings.
集成高分辨率机载线性CCD (TLS)图像和激光雷达数据
使用几种方法可以更容易地生成3D建筑建模。激光雷达数据自动化潜力大;虽然他们有这样的缺点,低分辨率和没有纹理。另一方面,航空图像的分辨率通常高于激光雷达数据的分辨率。在人口密集的城市环境中,航空图像比激光雷达数据更容易提取建筑物。然而,在人口密集的城市环境中,利用航空影像对建筑物进行全自动三维建模并不成功。本研究的目的是开发一种自动生成建筑物三维模型的方法。3D建筑数据的生成是通过整合高分辨率的机载线性CCD,低分辨率的DSMs(由激光雷达创建)和现有的2D数字地图来完成的。屋顶形状的细节表现,如山墙,是通过使用建筑知识创建的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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