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Regional monitoring of land cover conversion of natural vegetation to new informal human settlements is essential when investigating the migration of people to urbanized cities. Detecting these new settlements require reliable change detection methods. A robust change detection metric can be derived by analyzing the area under the autocorrelation function for a time series. The time dependence on...
This paper presents change detection using very high resolution SAR data. Small patches of SAR data were used for graphical Lasso based algorithm. The graphical Lasso for time series is defined as solution of an l1-regularized maximum likelihood problem. The optimization problem was solved using alternating direction method of multipliers (ADMM). The time series of patches was observed. The efficiency...
Urbanization is an ongoing process that need constant monitoring and observation. In this manuscript we showcase the build-up changes within and around the city of Shanghai by using space-borne microwave remote sensing data. Specifically, we employ a small baseline time series analysis using coherence change detection from two consecutive image stacks from 2003 to 2015 with data from ENVISAT ASAR...
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