基于Goldstein路径跟踪的相位解缠算法研究

    PHASE-UNWRAPPING ALGORITHM STUDY BASED ON GOLDSTEIN PATH FOLLOWING METHOD

    • 摘要: InSAR(合成孔径干涉雷达测量)是一种新型对地观测技术,由于其高精度、大区域、可穿透云雾、全天候、全天时的工作特性,在数字高程模型(DEM)提取以及地表形变监测方面有着独特的优势.在InSAR图像处理的过程中,相位解缠是至关重要的一步,相位解缠效果的好坏直接影响到高程图的精度.本文利用ASAR数据,在ROI_PAC软件下进行处理,对DEM提取流程进行简要的分析.ROI_PAC软件处理InSAR数据所应用的相位解缠算法是最经典的路径跟踪法——枝切法.对于该算法本文进行了详细的分析探讨,并针对算法中残差点搜索的过程提出了一种新的改进算法思想.

       

      Abstract: InSAR (Synthetic Aperture Radar Interferometry) is a kind of earth observation technique. Due to its working performances of high precision, wide coverage, penetrability, all-weather and all-time, InSAR owns unique advantages on digital elevation model (DEM) extraction and surface deformation monitoring. During the image processing of InSAR, phase-unwrapping plays an important role, whose results directly determine the final precision of DEM. This paper, using ASAR data, with the ROI_PAC software, briefly analyzes the DEM abstraction. The ROI_PAC adopts the classical path following algorithm of branch-cut method for phase-unwrapping. Based on a detailed analysis and discussion on this classical algorithm, the authors propose a new algorithm improving method for residual point searching.

       

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