高分辨率SAR影像干涉测量能获取高精度地表形变场，对地理国情监测具有重要意义。然而，高分辨干涉图在城市建筑密集区域存在地形特征丰富和相位不连续等问题，造成了地形去除和相位解缠的困难。数字表面模型(DSM)包含了地形及地表建筑物的空间三维结构信息，可有效描述地物的位置和空间拓扑关系。鉴此，本项目提出基于DSM研究建筑密集区域的InSAR干涉图地形去除及相位解缠方法。本项目拟研究:（1）基于DSM和雷达后向散射强度模拟的干涉图地形相位去除方法；（2）贝叶斯框架下，顾及相位不连续性的干涉图相位解缠算法；（3）对提出的方法进行实地案例分析。本项目将DSM中蕴含的精细地形信息与地物空间拓扑关系用于城市建筑密集区域的地形去除与相位解缠，有助于提升InSAR在建筑密集区域的形变监测能力，为高分辨率InSAR地理国情监测提供理论与技术支撑。

High resolution SAR interferometry is capable of high accuracy deformation mapping and plays an significant role in geographical conditions monitoring. However, detailed topography features and phase discontinuities are shown in building dense area of high resolution interferogram, increasing difficulties for topography removal and phase unwrapping. Digital surface model (DSM) contains both terrain height and the structure information of surface buildings. It can be used to describe the position and spatial topological relationships of ground features accurately. This project aims to implement topography removal and phase unwrapping in building dense area based on DSM. The project aims to investigate: (1) topography removal based on DSM and simulation of radar back scattering; (2) phase unwrapping with discontinuity protection within the Bayesian framework; (3) evaluation of proposed methods in a real case study. This project makes use of fine topography information and topological relationships in DSM for topography removal and phase unwrapping in building dense area. It shall enhance the capabilities of InSAR deformation monitoring in building dense area, provide theoretical and technical support for geographical conditions monitoring.