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Polarimetric SAR data compensation for terrain azimuth slope variation

机译:极化SAR数据补偿,用于地形方位角变化

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This paper addresses the problem of polarimetric SAR (POLSAR) data correction for changes in radar cross sections, which are caused by azimuth slopes. Most radiometric slope corrections remove slope effects to account for the effective scattering pixel area. However, few studies address the slope effect on the radar cross section as a function of polarization states. The authors propose two approaches to compensate for this azimuth slope effect for POLSAR data. In the first approach, the digital elevation model (DEM), obtained from interferometric SAR or from other means, is used to estimate orientation angles, and in the second approach, orientation angles are derived directly from the POLSAR data. They have developed three new methods to implement this second approach. One is based on the right-right and left-left circular polarizations, and the other two are based on Cloude's and Huynelt's decompositions. The results are compared with the original polarization signature method using the DEM-generated orientation angles as the reference. POLSAR data is then compensated using the derived orientation angles. Significant changes were observed in many elements of the coherency matrix. The compensated POLSAR data should improve the accuracy of geophysical parameter estimation techniques. NASA/JPL AIRSAR data for an area in central California is used for illustration.
机译:本文解决了极化SAR(POLSAR)数据校正问题,该问题用于校正由方位角倾斜引起的雷达横截面变化。大多数辐射度斜率校正会消除斜率影响,以解决有效散射像素区域的问题。但是,很少有研究将极化截面对雷达截面的斜率影响。作者提出了两种方法来补偿POLSAR数据的这种方位斜率效应。在第一种方法中,使用从干涉SAR或其他方式获得的数字高程模型(DEM)来估计方向角,在第二种方法中,直接从POLSAR数据中得出方向角。他们开发了三种新方法来实现第二种方法。一种是基于左右圆极化,另一种是基于Cloude和Huynelt分解。将结果与原始的偏振签名方法(使用DEM生成的方向角作为参考)进行比较。然后使用导出的方向角补偿POLSAR数据。在一致性矩阵的许多元素中都观察到了显着变化。补偿后的POLSAR数据应提高地球物理参数估计技术的准确性。加利福尼亚中部地区的NASA / JPL AIRSAR数据用于说明。

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