Radar interferometry time series analysis based on MLAMBDA

Abstract

In order to meet the needs of integer phase ambiguity, it proposes to model with Gauss-Markoff and estimate parameters for the time series analysis. And it puts forward the modified least-squares ambiguity decorrelation adjustment algorithm (MLAMBDA) and applies it to the optimal integer phase ambiguity. It analyzes and solves many algorithm problems in practice and programming through many comparative experiments. At last, the method is applied for the district settlement monitoring project. The engineering test results shows that the MLAMBDA is feasible and practical for D-InSAR time series analysis.