A method to detect earthquake-collapsed buildings from high-resolution satellite images
A method to detect earthquake-collapsed buildings from high-resolution satellite images
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DOI：
10.1080/2150704x.2013.858839
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发表时间：
2013-11
影响因子：
2.3
通讯作者：
W. Shi;M. Hao
中科院分区：
文献类型：
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作者：
W. Shi;M. Hao
提出了一种检测地震引起的建筑物倒塌的方法。该方法计算城市规划对象（建筑物）的光谱响应的定量指标，假设建筑物倒塌，如果光谱响应是足够的异质性。首先，存储在地理信息系统（GIS）矢量数据中的建筑物的震前边界被用作用于确定每个建筑物在后图像中的范围的参考。其次，采用改进的活动轮廓模型提取震后图像中建筑物边界的均匀区域。第三，计算所提取的均匀区域与对应的预建筑物边界之间的形状相似性指数（SSI），并且计算所提取的均匀像素区域与真实参考像素区域之间的面积比指数（ARI）。最后，k-均值聚类方法实现的基础上的SSI和ARI的倒塌和未损坏的部分划分建筑物。实验结果表明，该方法具有较强的鲁棒性和较高的有效性。值得注意的是，确定建筑物是否倒塌并不需要门槛。该方法可以快速准确地提供倒塌建筑物的信息。
A method is proposed to detect collapsed buildings induced by earthquakes. The method computes quantitative indices of the spectral responses for the city plan objects (buildings), assuming that a building was collapsed if the spectral response is sufficiently heterogeneous. First, the pre-earthquake boundaries of buildings stored in the geographic information system (GIS) vector data are used as a reference for determining the extent of each building in the post-image. Second, an improved active contour model is implemented to extract those homogeneous regions in the building boundaries on the post-earthquake image. Third, the shape similarity index (SSI) between the extracted homogeneous region and the corresponding pre-building boundary is calculated, and the area ratio index (ARI) between the extracted homogeneous pixel areas and the true reference pixel areas is calculated. Finally, the k-means clustering method is implemented to partition buildings into collapsed and undamaged sections based on the SSI and ARI. The experimental results indicate the strong robustness and high effectiveness of the proposed method. It is worth noting that a threshold is not needed to determine whether buildings are collapsed. The method quickly and accurately provides information on collapsed buildings.