SIGMA, Strain-model based InSAR for Geo-hazards' Monitoring Approach, aims to decrease the decorrelation noise in DInSAR interograms based on strain model, and to obtain high-quality InSAR phase time series.

DetrendInSAR, DEcrease both the TRENd and Dem-correlated components in InSAR time series, aims to decrease the atmospheric delays and orbital errors in InSAR phase time series (SIGMA output) based on the spatiotemporal characteristics of different components, and to obtain high-quality InSAR displacement time series.

These two methods serve as the post-processing procedure for InSAR displacement measurement based on unfiltered DInSAR interferograms (generated using other popular software). All processes are conducted in Matlab software, and detailed introduction can be found in the user manual.

Note that these two methods can be used independently.

If you have any query, please feel free to contact me (liujihong@csu.edu.cn).

More DEMO dataset can be found at here.