Quality analysis on 3D building models reconstructed from airborne laser scanning data
Quality analysis on 3D building models reconstructed from airborne laser scanning data
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DOI：
10.1016/j.isprsjprs.2010.09.009
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发表时间：
2011-03
影响因子：
12.7
通讯作者：
S. O. Elberink;G. Vosselman
中科院分区：
文献类型：
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作者：
S. O. Elberink;G. Vosselman
提出了一种三维建筑物模型几何质量评价方法。质量取决于输入数据的属性和处理步骤。洞察3D模型的质量对于用户判断模型是否可以用于其特定应用非常重要。如果没有适当的质量描述，很可能建筑模型要么被视为正确，要么被视为无用，因为质量是未知的。在我们的研究中，我们分析了输入数据的质量参数如何影响3D模型的质量。3D模型已经从约20 pts/m2的密集机载激光扫描仪数据重建。基于目标的图匹配方法已被用于将特定的数据特征与一般的建筑知识相关联。本文提出了一种理论和经验的方法来确定强有力的部分和缺点，在三维建筑物模型重建机载激光扫描数据，而不使用参考测量。我们的方法进行了测试，在三个不同的场景中，一个适当的质量描述是必不可少的，以正确判断模型的质量。
This paper presents a method to assess the geometric quality of 3D building models. The quality depends on properties of the input data and the processing steps. Insight in the quality of 3D models is important for users to judge whether the models can be used in their specific applications. Without a proper quality description it is likely that the building models are either treated as correct or considered as useless because the quality is unknown. In our research we analyse how the quality parameters of the input data affect the quality of the 3D models. The 3D models have been reconstructed from dense airborne laser scanner data of about 20 pts/m2. A target based graph matching approach has been used to relate specific data features to general building knowledge. The paper presents a theoretical and an empirical approach to identify strong parts and shortcomings in 3D building models reconstructed from airborne laser scanning data without the use of reference measurements. Our method is tested on three different scenes to show that a proper quality description is essential to correctly judge the quality of the models.