Enhancing building footprints with squaring operations
Enhancing building footprints with squaring operations
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DOI：
10.5311/josis.2016.13.276
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发表时间：
2016-12
期刊：
影响因子：
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通讯作者：
Imran Lokhat;G. Touya
中科院分区：
文献类型：
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作者：
Imran Lokhat;G. Touya
无论数据源或捕获过程如何，在地理数据集中创建建筑物足迹都容易出错。建筑物覆盖区设计为方形角度，但一旦在地理数据集中，角度可能不完全是方形的。当在地图上显示时，几乎正方形的角度模糊了足迹的易读性，但是也可以基于足迹在进一步的应用中传播，例如，3D城市模型构建本文提出了两种新的方法来平方这样的建筑物：一个简单的，一个更复杂的非线性最小二乘法的基础上。后者通过迭代移动顶点来平方直角和平面角，同时保持建筑物的初始形状和位置。测试的方法对真实的数据集和现有的方法进行评估，证明有用的贡献。平方变换的直接应用，如OpenStreetMap增强，或地图综合。
Whatever the data source, or the capture process, the creation of a building footprint in a geographical dataset is error prone. Building footprints are designed with square angles, but once in a geographical dataset, the angles may not be exactly square. The almost-square angles blur the legibility of the footprints when displayed on maps, but might also be propagated in further applications based on the footprints, e.g., 3D city model construction. This paper proposes two new methods to square such buildings: a simple one, and a more complex one based on nonlinear least squares. The latter squares right and flat angles by iteratively moving vertices, while preserving the initial shape and position of the buildings. The methods are tested on real datasets and assessed against existing methods, proving the usefulness of the contribution. Direct applications of the squaring transformation, such as OpenStreetMap enhancement, or map generalization are presented.