The Application of MLAMBDA for Time Series Radar Interferometry

The time series analysis for D-InSAR is a new kind of method. While modeling with Gauss-Markoff model and estimating parameters, how to search for integer phase ambiguity needs to be addressed. In the study, the modified least-squares ambiguity decorrelation adjustment algorithm (MLAMBDA) is applied for the optimal integer phase ambiguity. The problems about applying are analyzed and solved by many experiments. At last, the method is applied for the project of all Tianjin district and the result is correct and effective.