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An elimination method for isolated meshes in a road network considering stroke edge feature

机译:考虑笔划边缘特征的道路网络中孤立网格的消除方法

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摘要

The road network is the skeletal element of topographic maps at different scales. In general, urban roads are connected by road segments, thus forming a series of road meshes. Mesh elimination is a key step in evaluating the importance of roads during the road network data management and a prerequisite to the implementation of continuous multiscale spatial representation of road networks. The existing mesh-based method is an advanced road elimination method whereby meshes with the largest density are sequentially selected and road segments with the least importance in each mesh are eliminated. However, the road connectivity and integrity may be destroyed in specific areas by this method because some eliminated road segments could be located in the middle of road strokes. Therefore, this paper proposed an elimination method for isolated meshes in a road network considering stroke edge feature. First, small meshes were identified by using mesh density thresholds, which can be obtained by the sample data statistical algorithm. Thereafter, the small meshes related to the edge segments of road strokes were taken out and defined as stroke edge meshes, and the remaining small meshes were defined as stroke non-edge meshes. Second, by computing the mesh density of all stroke edge meshes, the mesh with the largest density was selected as the starting mesh, and the least important edge segment in the mesh was eliminated. The difference between the existing mesh-based method and the proposed method is that the starting mesh is a stroke edge mesh, not any given small mesh, and the eliminated segment is just only one of edge segments of strokes not chosen from among all segments. Third, mesh elimination was implemented by iteratively processing the stroke edge meshes with the largest mesh density until all of them were eliminated and their mesh density exceeded the threshold. The stroke non-edge meshes were directly preserved. Finally, a 1:10,000 topographic road map of an area in Jiangsu Province of China was used for validation. The experimental results show that for all stroke non-edge meshes and 23% of the stroke edge meshes, compared to the mesh-based method, the road stroke connectivity and integrity of road strokes were better preserved by the proposed method, and the remaining 77% of the elimination results for the stroke edge meshes were the same under the two methods.
机译:道路网络是不同尺度的地形图的骨骼元素。通常,城市道路通过道路段连接,从而形成一系列道路网格。网格消除是评估道路网络数据管理期间道路重要性的关键步骤,以及对道路网络的连续多尺度空间表示实施的先决条件。现有的基于网格的方法是先进的道路消除方法,由此依次选择具有最大密度的网格,并且消除了每个网格中最小值的道路段。然而,通过这种方法可以在特定领域销毁道路连接和完整性,因为一些消除的道路段可以位于道路冲程中间。因此,本文提出了考虑笔划边缘特征的道路网络中分离网格的消除方法。首先,通过使用网状密度阈值来识别小网格,其可以通过采样数据统计算法获得。此后,取出与道路行程的边缘段相关的小网格并定义为行程边缘网,并且剩余的小网状物被定义为行程非边缘网。其次,通过计算所有行程边缘网的网状密度,选择具有最大密度的网格作为起始网格,并且消除了网格中的最小重要的边缘段。现有网格的方法与所提出的方法之间的差异是起始网格是行程边缘网,而不是任何给定的小网格,并且消除的段只是仅从所有段中选择的笔触的边缘段中的一个。第三,通过迭代地处理具有最大网格密度的行程边缘网格来实现网格消除,直到消除所有网格密度,并且它们的网格密度超过阈值。直接保留行程非边缘网。最后,中国江苏省一个地区的1:10,000地形路线图被用于验证。实验结果表明,对于所有中风非边缘网和23%的行程边缘网格,与基于网格的方法相比,通过所提出的方法更好地保存道路行程连接和道路行程的完整性,其余77在两种方法下,冲程边缘网的消除结果的百分比是相同的。

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