Extracting buildings from aerial images using hierarchical aggregation in 2D and 3D
Extracting buildings from aerial images using hierarchical aggregation in 2D and 3D
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DOI：
10.1006/cviu.1998.0721
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发表时间：
1998-11-01
影响因子：
4.5
通讯作者：
Steinhage, V
中科院分区：
文献类型：
--
作者：
Fischer, A;Kolbe, TH;Steinhage, V
我们提出了一种基于模型的方法来自动提取三维建筑物从航空图像。我们专注于一个重建策略，不限于一小类建筑。因此，我们采用了一种通用的建模方法，它依赖于建筑部件模型的定义良好的组合，建筑部件被分类的屋顶类型。从低层图像特征开始，我们在多级聚合层次结构内组合联合收割机数据驱动和模型驱动过程，从而使用2D图像和3D对象建模和处理的紧密耦合，以形状和位置的复杂3D建筑物估计结束，由于明确表示的定义良好的处理状态方面的模型-基于2D和3D的描述，在所有级别的建模和数据聚合，我们的方法揭示了可靠的建筑物提取的巨大潜力。(C)北京：科学出版社.
We propose a model-based approach to automated 3D extraction of buildings from aerial images. We focus on a reconstruction strategy that is not restricted to a small class of buildings. Therefore, we employ a generic modeling approach which relies on the well-defined combination of building part models, Building parts are classified by their roof type. Starting from low-level image features we combine data-driven and model-driven processes within a multilevel aggregation hierarchy, thereby using a tight coupling of 2D image and 3D object modeling and processing, ending up in complex 3D building estimations of shape and location, Due to the explicit representation of well-defined processing states in terms of model-based 2D and 3D descriptions at all levels of modeling and data aggregation, our approach reveals a great potential for reliable building extraction. (C) 1998 Academic Press.