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首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >A New Approach to Collapsed Building Extraction Using RADARSAT-2 Polarimetric SAR Imagery
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A New Approach to Collapsed Building Extraction Using RADARSAT-2 Polarimetric SAR Imagery

机译：利用RADARSAT-2极化SAR图像提取倒塌建筑物的新方法。

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摘要

Large-scale earthquakes severely damage people''s lives and properties. Airborne and spaceborne remote sensing can be used accurately and effectively to monitor and assess earthquake disasters in near real time, providing an important scientific basis and decision-making support for government emergency command and postdisaster reconstruction. This letter proposes a new H-α-ρ method (H is the entropy, α is the average scattering mechanism, and ρ is the circular polarization correlation coefficient) for extracting the spatial distribution of collapsed buildings using RADARSAT-2 fine-mode polarimetric synthetic aperture radar (SAR) data. The method was tested on imagery from the Yushu earthquake in the Qinghai Province of China which occurred in 2010. When compared with high-resolution optical imagery, the result indicates that the proposed method can be effectively used to identify collapsed buildings and also demonstrates that polarimetric SAR data have potential for application in urban disaster monitoring and assessment.
机译：大规模地震严重损害了人们的生命和财产安全。机载和星载遥感可以近乎实时地准确有效地用于监测和评估地震灾害，为政府应急指挥和灾后重建提供重要的科学依据和决策支持。这封信提出了一种新的H-α-ρ方法（H是熵，α是平均散射机制，ρ是圆极化相关系数），用于使用RADARSAT-2精细模式极化合成方法提取倒塌建筑物的空间分布孔径雷达（SAR）数据。该方法在2010年发生的中国青海玉树地震图像上进行了测试。与高分辨率光学图像相比，该方法可以有效地识别倒塌的建筑物，并证明了偏振SAR数据具有在城市灾害监测和评估中的应用潜力。

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