A New Four-component Scattering Power Decomposition Applied to ALOS-PALSAR PLR Data Sets
A New Four-component Scattering Power Decomposition Applied to ALOS-PALSAR PLR Data Sets
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应用于ALOS-PALSAR PLR数据集的新型四分量散射功率分解
DOI：
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发表时间：
2010
期刊：
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通讯作者：
Jian Yang
中科院分区：
文献类型：
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作者：
Y. Yamaguchi;Akinobu Sato;R. Sato;Hiroyoshi Yamada;Jian Yang
提出了一种新的四分量散射功率分解方法，利用相干矩阵的旋转，以区分植被和定向城市区域相对于体积散射机制中的雷达照射方向。它是已知的，面向城市区域和植被签名具有相似的极化响应，并在分解中被分解成相同的体积散射机制。本文提出了一种先旋转相干矩阵再进行四分量分解的新方法。它示出了使用ALOS-PALSAR数据集，面向城市地区是明确区分从体积散射作为双反弹对象的相干矩阵的旋转。
A new four-component scattering power decomposition using a rotation of the coherency matrix is presented in order to distinguish vegetation and oriented urban area with respect to the direction of radar illumination in the volume scattering mechanism. It is known that oriented urban area and vegetation signatures have similar polarimetric responses and are decomposed into the same volume scattering mechanism in the decomposition. In this paper, a new decomposition scheme of first using a rotation of the coherency matrix followed by the fourcomponent decomposition is presented. It is shown using ALOS-PALSAR data sets that oriented urban areas are clearly distinguished from volume scattering as double bounce objects by the rotation of coherency matrix.