Model-Based Polarimetric Target Decomposition With Power Redistribution for Urban Areas
Model-Based Polarimetric Target Decomposition With Power Redistribution for Urban Areas
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DOI：
10.1109/jstars.2023.3314129
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发表时间：
2023
影响因子：
5.5
通讯作者：
Can-bin Hu;Yifei Wang;Xiaokun Sun;Sinong Quan;D. Xiang
中科院分区：
文献类型：
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作者：
Can-bin Hu;Yifei Wang;Xiaokun Sun;Sinong Quan;D. Xiang
朝向建筑的极化分解由于其朝向角度和结构的变化而具有挑战性。植被和定向建成区都会产生HV分量，即交叉极化散射，导致对体积散射（OVS）的高估。这可能导致对定向建成区和植被区之间散射机制的误解。本文采用完全随机散射的纯体散射模型来描述植被区的散射。同时，在考虑旋转二面体模型的基础上，引入极化不对称，提出了一种新的城市修正速率，可以区分不同区域，并通过电力传输策略降低城市OVS。在此基础上，提出了一种基于模型的城市极化目标分解方法。通过RADARSAT-2 c波段和UAVSAR l波段数据验证了该方法的有效性。结果表明，该方法不仅能较好地表征定向建筑物的散射特性，而且能保持自然区域的散射功率。它可以缓解定向建成区与自然区之间的散射误读问题。
Polarimetric decomposition of oriented buildings is challenging due to their variable orientation angles and structures. Both vegetated and oriented built-up areas generate the HV component namely cross-polarized scattering, leading to an overestimation of volume scattering (OVS). It can cause misinterpretation of the scattering mechanisms between oriented built-up and vegetated areas. In this article, we use a pure volume scattering model designed for completely random scattering to describe the scattering of vegetated areas. At the same time, a new urban revised rate is proposed by considering the rotated dihedral model and introducing polarimetric asymmetry, which can distinguish different areas and reduce OVS in urban areas through power transfer strategy. Then, a new model-based polarimetric target decomposition with power redistribution for urban areas is proposed. The performance of our proposed method is verified by RADARSAT-2 C-band and UAVSAR L-band data. The results show that our method can not only better characterize the scattering of oriented buildings compared to previous methods but also maintain the scattering power of natural areas. It can alleviate the scattering misinterpretation problem between oriented built-up and natural areas.