首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >Phase Unwrapping for Large-Scale P-Band UWB SAR Interferometry
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Phase Unwrapping for Large-Scale P-Band UWB SAR Interferometry

机译:大规模P波段UWB SAR干涉测量的相位展开

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Phase unwrapping (PU) for large-scale images is a new challenging problem in reconstructing a digital elevation model from synthetic aperture radar interferometry (InSAR) data. In this letter, we proposed a region-partition-based PU method that could improve the efficiency and decrease the processing memory of the large-scale PU problem for P-band ultrawideband (UWB) InSAR. The interferometric phase is flattened by the reference phase, which is generated from the shift estimation in the registration step. We refer to the residual phase as the misregistration phase (MRP), which corresponds to the error of the shift estimation. The MRP is unambiguous in most of the area with high coherence because of the large fractional bandwidth; thus, the regions that assuredly have the unambiguous MRP are partitioned out from the MRP image and referred to as the high-quality area. Meanwhile, the remaining low-quality areas are separated by the high-quality areas and are considered irregular tiles. After unwrapping the tiles by a minimum discontinuity PU algorithm either in parallel or in series, the full-size unwrapped result is obtained. The test performed on real P-band UWB InSAR data confirms the effectiveness and efficiency of our method.
机译:从合成孔径雷达干涉测量(InSAR)数据重建数字高程模型时,用于大型图像的相位展开(PU)是一个新的挑战性问题。在这封信中,我们提出了一种基于区域划分的PU方法,该方法可以提高P波段超宽带(UWB)InSAR大规模PU问题的效率并减少处理内存。干涉相位由参考相位展平,该参考相位由配准步骤中的偏移估计生成。我们将剩余阶段称为重合失调阶段(MRP),它对应于偏移估计的误差。由于分数带宽大,因此在大多数具有高相干性的区域中,MRP都是明确的。因此,确保具有明确MRP的区域从MRP图像中被划分出来,被称为高质量区域。同时,其余的低质量区域被高质量区域分隔开,被视为不规则瓷砖。在通过并行或串联的最小不连续性PU算法对图块进行解包后,可以获得完整大小的解包结果。在真实的P波段UWB InSAR数据上进行的测试证实了我们方法的有效性和效率。

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