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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Analysis of Orientation Angle Shifts on the Polarimetric Data Using Radarsat2 Images
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Analysis of Orientation Angle Shifts on the Polarimetric Data Using Radarsat2 Images

机译:使用Radarsat2图像分析极化数据的方向角偏移

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Polarization orientation angle (POA) shifts induced by the variations of range and azimuth slopes cause the polarization to rotate about the radar line of sight. Their existence reduces the accuracy measurement of geophysical parameters from polarimetric synthetic aperture radar (PolSAR) images and may generate erroneous scattering characteristics that could be misinterpreted. In real situations, terrain slopes rotate the polarization basis of the polarimetric scattering matrices by an orientation angle shift, and induce significant cross-polarization power. Consequently, it is desirable to compensate the data for the orientation effect before applying scattering model-based decompositions. In this paper, we investigate the compensation effect on the elements of the coherency matrix using the orientation angle extracted from circular polarization technique and from the copolarization signature applied to building areas. The effect of this compensation is that the volume scattering power is consistently decreased, while the double-bounce power is increased. The surface and helix scattering powers are roll invariant. Comparing both methods, we find that the circular polarization algorithm gives mostly the best results except for some targets. In this way, a combined use of both algorithms has been proposed to choose an optimum orientation angle, which can be used directly to compensate POLSAR data to ensure improvement in the overall polarimetric decomposition and classification. We illustrate our results using the polarimetric SAR images acquired on the Algiers city by the RadarSAT2 (FQ19) in C-band.
机译:由距离和方位角斜率的变化引起的极化取向角(POA)位移会导致极化围绕雷达视线旋转。它们的存在降低了极化合成孔径雷达(PolSAR)图像对地球物理参数的精确测量,并可能产生错误的散射特征,这些特征可能会被误解。在实际情况下,地形坡度会通过取向角偏移旋转极化散射矩阵的极化基础,并产生明显的交叉极化功率。因此,希望在应用基于散射模型的分解之前补偿数据的定向效果。在本文中,我们使用圆极化技术和应用于建筑区域的共极化特征提取的定向角来研究对相干矩阵元素的补偿效果。这种补偿的效果是,体积散射功率不断降低,而双反射功率则提高。表面和螺旋散射能力是滚动不变的。比较这两种方法,我们发现,除了某些目标外,圆极化算法的效果最佳。以此方式,已经提出了两种算法的组合使用以选择最佳的取向角,该取向角可直接用于补偿POLSAR数据,以确保总体极化分解和分类得到改善。我们使用RadarSAT2(FQ19)在C波段在阿尔及尔市获得的极化SAR图像来说明我们的结果。

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