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Mitigation of Faraday rotation in ALOS-2/PALSAR-2 Full Polarimetric SAR Imageries

机译:缓解ALOS-2 / PALSAR-2全极化SAR图像中法拉第旋转的问题

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The ionosphere, which extends from 50-450 kms in earth's atmosphere, is a particularly important region with regards electromagnetic wave propagation and radio communications in the L-band and lower frequencies. These ions interact with the traversing electromagnetic wave and cause rotation of polarization of the radar signal. In this paper, a potentially computable method for quantifying Faraday rotation (FR), is discussed with the knowledge of full polarimetric ALOS/PALSAR data and ALOS-2/PALSAR-2 data. For a well calibrated monostatic, full-pol ALOS-2/PALSAR-2 data, the reciprocal symmetry of the received scattering matrix is violated due to FR. Apart from FR, other system parameters like residual system noise, channel amplitude, phase imbalance and cross-talk, also account for the non-symmetry. To correct for the FR effect, firstly the noise correction was performed. PALSAR/PALSAR-2 data was converted into 4×4 covariance matrix to calculate the coherence between cross-polarized elements. Covariance matrix was modified by the coherence factor. For FR corrections, the covariance matrix was converted into 4×4 coherency matrix. The elements of coherency matrix were used to estimate FR angle and correct for FR. Higher mean FR values during ALOS-PALSAR measurements can be seen in regions nearer to the equator and the values gradually decrease with increase in latitude. Moreover, temporal variations in FR can also be noticed over different years (2006-2010), with varying sunspot activities for the Niigata, Japan test site. With increasing sunspot activities expected during ALOS-2/PALSAR-2 observations, more striping effects were observed over Mumbai, India. This data has also been FR corrected, with mean FR values of about 8°, using the above mentioned technique.
机译:电离层在地球大气中的传播距离为50-450公里,对于L波段和较低频率的电磁波传播和无线电通信而言,它是一个特别重要的区域。这些离子与遍历的电磁波相互作用,并导致雷达信号极化的旋转。在本文中,利用全极化ALOS / PALSAR数据和ALOS-2 / PALSAR-2数据的知识,讨论了一种可计算的法拉第旋转(FR)量化方法。对于校准良好的单静态全极化ALOS-2 / PALSAR-2数据,由于FR违反了接收散射矩阵的倒数对称性。除FR外,其他系统参数(例如残留系统噪声,通道幅度,相位不平衡和串扰)也是非对称性的原因。为了校正FR效应,首先进行噪声校正。将PALSAR / PALSAR-2数据转换为4×4协方差矩阵,以计算交叉极化元素之间的相干性。协方差矩阵由相干因子修改。对于FR校正,将协方差矩阵转换为4×4相干矩阵。相干矩阵的元素用于估计FR角并校正FR。在ALOS-PALSAR测量期间,可以在更靠近赤道的区域看到较高的平均FR值,并且该值随着纬度的增加而逐渐减小。此外,FR的时间变化也可以在不同年份(2006-2010年)内注意到,日本新泻的测试地点的黑子活动也不同。随着在ALOS-2 / PALSAR-2观测期间黑子活动的增加,印度孟买的条纹效应得到了进一步的观察。使用上述技术,该数据还经过FR校正,平均FR值约为8°。

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