基于InSAR技术发展而来的D-InSAR技术是当前地表形变监测领域的前沿技术，该技术具有全天时全天候成像以及基于面状观测等优势，在地震形变场监测、滑坡监测、城市地表沉降监测等方面应用广泛，然而也面临时间失相关，空间失相关，大气延迟效应等瓶颈问题，影响其获取地表形变的精度、限制了D-InSAR技术的广泛应用。本文介绍了D-InSAR技术基本原理，利用大量数据进行仿真实验，对空间基线和时间基线对相干性的影响进行了验证分析，初步建立了根据时间基线和空间基线估算干涉像对相干性的数学模型，并进行了验证，获得了较好的效果，对如何选择主辅影像，提高干涉质量具有指导意义，对D-InSAR技术在地表变形监测中的广泛应用具有很好的实际意义。%D-InSAR technology which based on the development of InSAR is a frontier technology in the field of land deformation detection, with advantages of working all the time and under any weather conditions. It could be widely used in earthquake monitoring, landslide monitoring and the urban subsidence. However, D-InSAR faces the constraints of the decorrelation because of time interval, baseline and atmospheric effects, which affects its precision for the surface deformation and limits its wide application. In this paper, the basic principle and mathematical model of D-InSAR were introduced, and simulation experiments are carried out using a mass of data, the baseline and time interval on the analysis of the coherence are verified, and preliminarily established mathematical model of coherence according to the estimation of baseline and time interval, and obtained good results. The model has a guiding significance on how to choose master images, slave images, and improves the quality of interference, has a very good practical significance for D-InSAR technology application in the surface deformation.
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