Building damage assessment is of great significance to disaster monitoring. Polarimetric Synthetic Aperture Radar (SAR) can record the polarization scattering measurement matrix of ground objects and obtain more abundant ground object information, meaning that they can be used for assessing damage to buildings. In this paper, a new approach is proposed to assess building damage using the Touzi incoherent decomposition and SAR-based characteristics of buildings before and after damage. The March 11th, 2011 earthquake that struck the coast of northeast Japan serves as the demonstration of the technique using quad-polarimetric ALOS PALSAR data acquired before and after the disaster. The analysis shows that after the buildings are damaged, there is a clear decrease in the α_s1 (the dominant scattering-type magnitude) components and the degree of this reduction corresponds to the degree of building damage. This means that the α_s1 components obtained by Touzi decomposition can effectively reflect the degree of building damage. On this basis, a model based on Touzi decomposition was established to evaluate the degree of damage to buildings, and the accuracy of the model was validated using high-resolution optical data acquired before and after the earthquake. The experimental results show that Touzi decomposition can be effectively used for damage assessment mapping in built-up areas.

中文翻译：

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基于四极化ALOS PALSAR数据基于Touzi分解的建筑物损伤映射

建筑破坏评估对灾害监测具有重要意义。极化合成孔径雷达（SAR）可以记录地面物体的极化散射测量矩阵，并获得更丰富的地面物体信息，这意味着它们可以用于评估对建筑物的破坏。在本文中，提出了一种新的方法来评估建筑物的损坏程度，该方法使用了Touzi非相干分解和基于SAR的建筑物损坏前后的特征。2011年3月11日袭击日本东北部沿海地区的地震，是利用灾难前后获取的四极化ALOS PALSAR数据对该技术进行的演示。分析表明，后建筑物受损，没有在明显下降α _S1（主要的散射型强度）分量，这种减少的程度与建筑物损坏的程度相对应。这意味着α _S1通过Touzi分解获得的组分能有效地反映构建损伤的程度。在此基础上，建立了基于Touzi分解的模型来评估建筑物的破坏程度，并使用地震前后获得的高分辨率光学数据验证了模型的准确性。实验结果表明，Touzi分解可以有效地用于建成区的损害评估图。