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Forest height retrieval using P-band airborne multi-baseline SAR data: A novel phase compensation method

机译:森林高度检索采用P波段空中多基线SAR数据:一种新型相位补偿方法

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摘要

Synthetic aperture radar (SAR) tomography (TomoSAR) has been well-established for three-dimensional (3-D) information extraction of forests using the multi-baseline SAR data stacks. The multi-baseline SAR data stacks can be acquired by spaceborne and airborne SAR systems, but for forest scenarios, the data stacks acquired by the airborne SAR system are mostly used. Such a data stack has the advantages of short revisiting time and weak temporal decorrelation. However, due to the baseline errors (caused by the residual platform motion and the measurement errors of the navigation instruments), phase errors (PEs) will occur. PEs are independent of one track to the other, resulting in spreading and defocusing in tomographic imaging. In this paper, we proposed a novel phase compensation method named NC-PGA, which combines the methods of network construction (NC) and phase gradient autofocus (PGA) to estimate and compensate the PEs. The NC method uses the Delaunay triangulation network and beamforming to obtain an accurate elevation estimate of the selected permanent scatterers, which can be used as the prior information for subsequent processing to overcome the shortcomings of the PGA method in PEs estimation. The PGA method uses the spatial invariance of PEs in a limited area to compensate for the PE of each track. The applicability of the NC-PGA method is demonstrated using simulated data and real data. The real data contains two data stacks. The one is acquired by a full-polarization P-band airborne SAR system (developed independently by our project research team) over the study area in Saihanba Forest Farm in Hebei, China. The other one is acquired by ONERA SETHI airborne system over Paracou, French Guiana, in the frame of the European Space Agency's campaign TropiSAR. We select a test area in the study area and successfully retrieve the height of the forest, and use LiDAR data for results validation and evaluation.
机译:合成孔径雷达(SAR)断层扫描(TOMOSAR)对于使用多基线SAR数据堆叠的森林的三维(3-D)信息提取已经很好地建立了很好的建立。多基线SAR数据堆栈可以由星载和空机SAR系统获取,但对于森林情景,主要使用由空机SAR系统获取的数据堆栈。这种数据堆栈具有短暂的时间和弱时间去相关性的优点。但是,由于基线误差(由残余平台运动引起的导航仪器的测量误差),将发生相位误差(PE)。 PE与另一条轨道无关,导致断层成像中的传播和散焦。在本文中,我们提出了一种名为NC-PGA的新型相位补偿方法,它将网络构建(NC)和相位梯度自动对焦(PGA)的方法组合来估计和补偿PE。 NC方法使用Delaunay三角测量网络和波束成形来获得所选择的永久散射体的精确高度估计,其可以用作后续处理的先前信息,以克服PGA方法在PES估计中的缺点。 PGA方法使用限量区域中PE的空间不变性来补偿每个轨道的PE。使用模拟数据和实际数据来证明NC-PGA方法的适用性。实际数据包含两个数据堆栈。在中国河北省赛亚巴森林农场的研究区,由全极化P波段机载SAR系统(由我们的项目研究团队开发)获得。另一个是在欧洲航天局的竞争热情的框架上,在法国圭亚那帕拉科·古亚纳的Onera Sethi Airborbe System获得。我们在研究区域中选择一个测试区域,并成功地检索森林的高度,并使用LIDAR数据进行结果验证和评估。

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    Chinese Acad Sci Aerosp Informat Res Inst Space Microwave Remote Sensing Syst Dept Beijing 100190 Peoples R China|Univ Chinese Acad Sci Sch Elect Elect & Commun Engn Beijing 100049 Peoples R China;

    Chinese Acad Sci Aerosp Informat Res Inst Space Microwave Remote Sensing Syst Dept Beijing 100190 Peoples R China;

    Chinese Acad Sci Aerosp Informat Res Inst Space Microwave Remote Sensing Syst Dept Beijing 100190 Peoples R China;

    Chinese Acad Sci Aerosp Informat Res Inst Space Microwave Remote Sensing Syst Dept Beijing 100190 Peoples R China;

    Chinese Acad Sci Aerosp Informat Res Inst Space Microwave Remote Sensing Syst Dept Beijing 100190 Peoples R China;

    Chinese Acad Forestry Res Inst Forest Resources Informat Tech Beijing 100091 Peoples R China;

    Chinese Acad Forestry Res Inst Forest Resources Informat Tech Beijing 100091 Peoples R China;

    Chinese Acad Sci Aerosp Informat Res Inst Space Microwave Remote Sensing Syst Dept Beijing 100190 Peoples R China;

    Chinese Acad Sci Aerosp Informat Res Inst Space Microwave Remote Sensing Syst Dept Beijing 100190 Peoples R China;

    Chinese Acad Sci Aerosp Informat Res Inst Space Microwave Remote Sensing Syst Dept Beijing 100190 Peoples R China|Univ Chinese Acad Sci Sch Elect Elect & Commun Engn Beijing 100049 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Forest 3-D structure; Phase errors compensation; Network construction; Phase gradient autofocus; SAR tomography;

    机译:森林3-D结构;相位误差补偿;网络建设;相位梯度自动对焦;SAR断层扫描;

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