基于Goldstein路径跟踪的相位解缠算法研究

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.

PHASE-UNWRAPPING ALGORITHM STUDY BASED ON GOLDSTEIN PATH FOLLOWING METHOD

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.