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The Polarization Orientation Shift Estimation and Compensation of PolSAR data in Forest area

机译:林区PolSAR数据的极化方向偏移估计与补偿。

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摘要

Polarization orientation angle (POA) is a major parameter of electromagnetic wave. Thisrnangle will be shift due to azimuth slopes, which will affect the radiometric quality of PolSARrndata. Under the assumption of reflection symmetrical medium, the shift value of polarizationrnorientation angle (POAs) can be estimated by Circular Polarization Method (CPM). Then, thernshift angle can be used to compensate PolSAR data or extract DEM information. However, it isrnless effective when using high-frequency SAR (L-, C-band) in the forest area. The main reasonrnis that the polarization orientation angle shift of forest area not only influenced byrntopography, but also affected by the forest canopy. Among them, the influence of the former belongs tornthe interference information should be removed, but the impact of the latter belongs to the polarizationrnfeature information needs to be retained. The ALOS2 PALSAR2 L-band full polarimetric SAR datarnwas used in this study. Base on the Circular Polarization and DEM-based method, we analyzed thernvariation of shift value of polarization orientation angle and developed the polarization orientation shiftrnestimation and compensation of PolSAR data in forest.
机译:极化取向角(POA)是电磁波的主要参数。由于方位角倾斜,该角度将发生偏移,这将影响PolSARrndata的辐射质量。在反射对称介质的假设下,可以通过圆偏振法(CPM)来估计偏振取向角(POA)的位移值。然后,偏移角可用于补偿PolSAR数据或提取DEM信息。但是,在林区中使用高频SAR(L波段,C波段)时,它是无效的。主要原因是林区极化取向角的变化不仅受地形的影响,而且受林冠层的影响。其中,前者的影响属于干扰信息,应删除,而后者的影响属于极化特征信息,需要保留。这项研究中使用了ALOS2 PALSAR2 L波段全极化SAR数据。在圆极化和基于DEM的方法的基础上,分析了偏振取向角偏移值的变化,并开发了偏振取向偏移对森林中PolSAR数据的估计和补偿。

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  • 会议地点 Wuhan(CN)
  • 作者单位

    The research Institute of Forest Resources Information Technique, Chinese Academy of Forestry,No.1 Dongxiaofu, Haidian District, Beijing, China, 100091;

    The research Institute of Forest Resources Information Technique, Chinese Academy of Forestry,No.1 Dongxiaofu, Haidian District, Beijing, China, 100091;

    The research Institute of Forest Resources Information Technique, Chinese Academy of Forestry,No.1 Dongxiaofu, Haidian District, Beijing, China, 100091;

    The research Institute of Forest Resources Information Technique, Chinese Academy of Forestry,No.1 Dongxiaofu, Haidian District, Beijing, China, 100091;

    The research Institute of Forest Resources Information Technique, Chinese Academy of Forestry,No.1 Dongxiaofu, Haidian District, Beijing, China, 100091;

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