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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Extraction of Wall Cracks on Earthquake-Damaged Buildings Based on TLS Point Clouds
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Extraction of Wall Cracks on Earthquake-Damaged Buildings Based on TLS Point Clouds

机译：基于TLS点云的地震破坏建筑物墙体裂缝提取

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摘要

Earthquakes often induce collapse or cause extreme damage to large areas of buildings. One of the most important requirements for earthquake emergency operations is staying up-to-date on the extent of structural damage in earthquake-stricken areas. Terrestrial laser scanning (TLS) technology can directly obtain the coordinates of mass points while maintaining a high measurement accuracy, thereby providing the means to directly extract quantitative information from surface cracks on damaged buildings. In this paper, we present a framework for extracting wall cracks from high-density TLS point clouds. We first differentiate wall points from nonwall points using the TLS data. Then, a planar triangulation modeling method is used to construct a triangular irregular network (TIN) dataset, after which a raster surface is generated using an inverse distance weighting point cloud rasterization method based on the crack width. Then, cracks are extracted based on their shape features. We extract six sets of wall cracks from a damaged building wall in Beichuan County as an example of employing the above-mentioned method; the damage was caused by the Wenchuan earthquake. Quantitative calculations reveal that the extraction accuracy of the proposed method is greater than 91% and that the rate of leakage detection is less than 10%. In addition, the main limiting factor of the extraction accuracy is the crack width, that is, a wider crack will result in a higher extraction accuracy. In addition, the crack connectivity and leakage rate are negatively correlated, that is, a higher connectivity corresponds to a lower rate of missed extractions.
机译：地震通常会导致建筑物倒塌或对建筑物的大面积造成极大的破坏。地震应急行动的最重要要求之一是了解地震灾区的结构破坏程度。地面激光扫描（TLS）技术可以在保持较高测量精度的同时直接获取质点的坐标，从而提供了从受损建筑物的表面裂缝中直接提取定量信息的方法。在本文中，我们提出了一个从高密度TLS点云中提取墙体裂缝的框架。我们首先使用TLS数据区分墙点和非墙点。然后，使用平面三角剖分建模方法构建三角形不规则网络（TIN）数据集，然后使用基于裂缝宽度的反距离加权点云栅格化方法生成栅格表面。然后，根据裂纹的形状特征提取裂纹。以上述方法为例，从北川县某受损建筑墙体中提取出六组墙体裂缝。破坏是汶川地震造成的。定量计算表明，该方法的提取精度大于91％，泄漏检测率小于10％。另外，提取精度的主要限制因素是裂纹宽度，即，更宽的裂纹将导致更高的提取精度。另外，裂纹的连通性和泄漏率负相关，也就是说，较高的连通性对应较低的漏失率。

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