A Hybrid Damage Detection Approach Based on Multi-Temporal Coherence and Amplitude Analysis for Disaster Response
A Hybrid Damage Detection Approach Based on Multi-Temporal Coherence and Amplitude Analysis for Disaster Response
复制标题
基于多时相相干性和振幅分析的灾难响应混合损伤检测方法
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
S. Yun
中科院分区：
文献类型：
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作者：
Jungkyo Jung;S. Yun
基于相干性和基于幅度的方法已用于检测自然灾害造成的受损区域。然而，对于具有低相干性的像素，基于相干性的方法变得不太可靠，并且基于幅度的方法通常比基于相干性的方法对损坏不太敏感。本文提出了一种联合利用从多时相合成孔径雷达图像获取的干涉相干性和幅度信息来绘制损伤代理图的方法，以弥补其弱点。该技术针对 2018 年 9 月 6 日日本北海道 M6.7 地震引发的山体滑坡进行了评估。实验结果证明了混合技术的优势，显示出比单独方法更好的性能。
The coherence-based and amplitude-based methods have been used to detect damaged area caused by natural disasters. However, the coherence-based method becomes less reliable for pixels having low coherence and amplitude-based method is in general less sensitive to the damage than coherence-based method. This paper presents an approach to damage proxy maps by jointly utilizing the interferometric coherence and amplitude information acquired from multi-temporal synthetic aperture radar images to complement their weakness. This technique is evaluated for the landslides triggered by the M6.7 Hokkaido earthquake on September, 6, 2018 in Japan. The experimental results demonstrate the benefit of the hybrid technique showing better performance than individual approaches.