An Improved Algorithm to Delineate Urban Targets with Model-Based Decomposition of PolSAR Data
An Improved Algorithm to Delineate Urban Targets with Model-Based Decomposition of PolSAR Data
复制标题
基于模型的 PolSAR 数据分解描绘城市目标的改进算法
DOI：
10.3390/rs9101037
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发表时间：
2017-10
期刊：
影响因子：
5
通讯作者：
Yong Wang
中科院分区：
文献类型：
--
作者：
Dingfeng Duan;Yong Wang
在基于模型的极化合成孔径雷达（PolSAR）数据分解算法中，城市目标的识别通常基于强双弹散射的存在。然而，具有大方位角（AOAs）的城市目标产生强烈的体积散射，其散射特征与树冠的散射特征相似。由于散射的模糊性，采用与基于模型的PolSAR分解算法相同的分类方案，可以将城市目标划分为植被类。为了消除歧义，最终减少误分类，我们引入了一个描述不同aoa的城市目标散射机制的相关系数。在此基础上，对现有的体积散射模型进行了改进，提出了一种PolSAR分解算法。利用4个PolSAR数据集验证了该算法的有效性。该算法能够有效地圈定具有大范围aoa的城市目标，适用于城市地区、高地和洪水林分的大范围地面目标。
In model-based decomposition algorithms using polarimetric synthetic aperture radar (PolSAR) data, urban targets are typically identified based on the existence of strong double-bounced scattering. However, urban targets with large azimuth orientation angles (AOAs) produce strong volumetric scattering that appears similar to scattering characteristics from tree canopies. Due to scattering ambiguity, urban targets can be classified into the vegetation category if the same classification scheme of the model-based PolSAR decomposition algorithms is followed. To resolve the ambiguity and to reduce the misclassification eventually, we introduced a correlation coefficient that characterized scattering mechanisms of urban targets with variable AOAs. Then, an existing volumetric scattering model was modified, and a PolSAR decomposition algorithm developed. The validity and effectiveness of the algorithm were examined using four PolSAR datasets. The algorithm was valid and effective to delineate urban targets with a wide range of AOAs, and applicable to a broad range of ground targets from urban areas, and from upland and flooded forest stands.
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