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首页> 外文会议>Computational Imaging V; Proceedings of SPIE-The International Society for Optical Engineering; vol.6498; Electronic Imaging Science and Technology >Empirical Evaluation of Dissimilarity Measures for Use in Urban Structural Damage Detection
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Empirical Evaluation of Dissimilarity Measures for Use in Urban Structural Damage Detection

机译：用于城市结构损伤检测的差异度量的实证评估

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摘要

Multi-temporal earth-observation imagery is now available at sub-meter accuracy and has been found very useful for performing quick damage detection for urban areas affected by large-scale disasters. The detection of structural damage using images taken before and after disaster events is usually modeled as a change detection problem. In this paper, we propose a new perspective for performing change detection, where dissimilarity measures are used to extract urban structural damage. First, image gradient magnitudes and spatial variances are used as a means to capture urban structural features. Subsequently, a family of distribution dissimilarity measures, including: Euclidean distance, Cosine, Jeffery divergence, and Bhattacharyya distance, are used to extract structural damage. We particularly focus on evaluating the performance of these dissimilarity-based change detection methods under the framework of pattern classification and crossvalidation, and with the use of a pair of bi-temporal satellite images captured before and after a major earthquake in Bam, Iran. The paper concludes that the proposed change detection methods for urban structural damage detection, which are conceptually simple and computationally efficient, outperform the traditional correlation analysis in terms of both classification accuracy and tolerance to local alignment errors.
机译：现在可以以亚米的精度获得多时相地球观测图像，并且发现该图像对于对受大规模灾难影响的城市区域进行快速损坏检测非常有用。使用灾难事件之前和之后拍摄的图像来检测结构损坏通常被建模为变化检测问题。在本文中，我们提出了一种执行变更检测的新视角，其中使用相异性度量来提取城市结构破坏。首先，将图像梯度幅度和空间变化用作捕获城市结构特征的一种手段。随后，使用一系列分布差异度量，包括：欧几里得距离，余弦，Jeffery发散和Bhattacharyya距离，以提取结构损伤。我们特别专注于评估这些基于差异的变化检测方法在模式分类和交叉验证框架下的性能，并使用一对在伊朗班姆大地震前后捕获的双时相卫星图像。得出的结论是，在分类精度和对局部对准误差的耐受性方面，所提出的用于城市结构损伤检测的变化检测方法在概念上简单且计算效率高，优于传统的相关分析。

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