A four-component decomposition of POLSAR image
A four-component decomposition of POLSAR image
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DOI：
10.1109/igarss.2005.1525809
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发表时间：
2005-07
期刊：
影响因子：
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通讯作者：
Y. Yamaguchi;Motoi Ishido;Hiroyoshi Yamada;T. Moriyama
中科院分区：
文献类型：
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作者：
Y. Yamaguchi;Motoi Ishido;Hiroyoshi Yamada;T. Moriyama
摘要：提出了一种四分量散射模型来分解极化合成孔径雷达图像。采用协方差矩阵法处理非反射对称散射情况。该方案包含并扩展了三分量分解方法，该方法处理了共相干和交叉相干接近于零的反射对称条件。将圆偏振功率作为第四分量加入到描述表面、双弹跳和体积散射的三分量散射模型中。加入圆极化项是为了考虑在复杂的城市区域散射中通常出现而在自然分布的散射体中消失的共极化和交叉极化相关性。
Abstract : A four-component scattering model is proposed to decompose polarimetric synthetic aperture radar images. The covariance matrix approach is used to deal with the non-reflection symmetric scattering case. This scheme includes and extends the three-component decomposition method dealing with the reflection symmetry condition that the co-pol and the cross-pol correlations are close to zero. Circular polarization power is added as the fourth component to the three component scattering model which describes surface, double bounce, and volume scattering. This circular polarization term is added to take account of the co-pol and the cross-pol correlations which generally appear in complex urban area scatttering and disappear for natural distributed scatterer.