A novel approach to building collapse detection from post-seismic polarimetric SAR imagery by using optimization of polarimetric contrast enhancement
A novel approach to building collapse detection from post-seismic polarimetric SAR imagery by using optimization of polarimetric contrast enhancement
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DOI：
10.1109/igarss.2015.7326516
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发表时间：
2015-07
期刊：
影响因子：
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通讯作者：
Haizhen Zhang;Qing Wang;Q. Zeng;Jian Jiao
中科院分区：
文献类型：
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作者：
Haizhen Zhang;Qing Wang;Q. Zeng;Jian Jiao
本文提出了一种基于极化对比度增强（OPCE）优化的地震引起的建筑物倒塌提取新方法。该方法所需的数据是一张事后全偏振合成孔径雷达（PolSAR）图像，可以实现快速的建筑物损坏评估。在该方法中，倒塌的建筑物被识别为杂波，并根据具有不同方向角的建筑物样本确定最佳偏振状态。为了进行比较，还使用了另一种对比度增强方法，即偏振合成技术。我们使用 2010 年中国青海省玉树地震的一幅 Radasat-2 PolSAR 图像测试了这两种方法。结果通过甚高分辨率 (VHR) 光学图像的手动解译结果进行了验证。实验表明，OPCE方法的倒塌建筑物检测准确率平均为66.53%，高于偏振合成技术的42.7%，因为OPCE方法在数据处理时考虑了建筑物方位。
A novel approach is proposed in this paper for earthquake-induced building collapse extraction based on the optimization of polarimetric contrast enhancement (OPCE). This method can realize a quick building damage assessment since the data it requires is one post-event fully polarimetric Synthetic Aperture Radar (PolSAR) image. In this method, collapsed building is recognized as clutter and the optimal polarization states are determined based on building samples with different orientation angles. For comparison, another contrast enhancement methodology, polarization synthesis technology is also utilized. We tested these two methods by using one Radasat-2 PolSAR image from Yushu earthquake in Qinghai province of China occurred in 2010. Results were validated by manual interpretation results of very high resolution (VHR) optical image. Experiments shows that collapsed building detection accuracy of OPCE method can be 66.53% in average, which is higher than that of polarization synthesis technology (42.7%) for the reason that building orientation is considered in the data processing of OPCE method.