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README
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README
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This folder contains MATLAB programs developed for the InSAR decorrelation noise covariance model.
aux_locwithampbackground.m: Mark selected locations in a SAR amplitude map. This program was used to generate Fig2.(2) and (3).
aux_tableofmerits.m: This program was used to generate table 2.
compare_realdata.m: This program was used to generate Fig.5 and Fig. 6.
comparemodels_simulation.m: This program was used to generate Fig.3.
cpx_phase_correlation.m: This program was used to compute Eq. 34
DVstat_igram_analysis_1.m: This program was used to generate Fig. 4 Death Valleycase: data and model predictions of decorrelation phase noise variance after stacking
DVstat_igram_analysis_2.m: This program was used to generate Fig. 2 Death Valley coherence-time plot
mydecorcov.m: This program generates decorrelation covariance matrix using the proposed model
piyushdecorcov.m: This program generates decorrelation covariance matrix using Piyush's model from his paper
simulateSLC.m: This program generates a series of SLCs with given scattering model. Used in cpx_phase_correlation.m.
stat_igram_analysis_1.m: This program was used to generate Fig.4 Cascadia case: data and model predictinos of decorrelation phase noise variance after stacking
stat_igram_analysis_2.m: This program was used to generate Fig.2 Cascadia coherence-time plot.