IEEE Transactions on Geoscience and Remote Sensing, 2022
In this work, we present a new method based on the compressive sensing (CS) theory to correct pha... more In this work, we present a new method based on the compressive sensing (CS) theory to correct phase unwrapping (PhU) errors in the multitemporal sequence of interferograms exploited by advanced differential interferometric synthetic aperture radar (DInSAR) techniques to generate deformation time series. The developed algorithm estimates the PhU errors by using a modified $L_{1}$ -norm estimator applied to the interferometric network built in the temporal/spatial baseline plane. Indeed, in order to search the minimum $L_{1}$ -norm sparse solution, we apply the iterative reweighted least-squares method with an improved weight function that takes account of the baseline characteristics of the interferometric pairs. Moreover, we also introduce a quality function to identify those solutions that have no physical meaning. Although the proposed approach can be applied to different multitemporal DInSAR approaches, our analysis is tailored to the full-resolution small baseline subset (SBAS) ...
IEEE Transactions on Geoscience and Remote Sensing, 2022
In this work, we present a new method based on the compressive sensing (CS) theory to correct pha... more In this work, we present a new method based on the compressive sensing (CS) theory to correct phase unwrapping (PhU) errors in the multitemporal sequence of interferograms exploited by advanced differential interferometric synthetic aperture radar (DInSAR) techniques to generate deformation time series. The developed algorithm estimates the PhU errors by using a modified $L_{1}$ -norm estimator applied to the interferometric network built in the temporal/spatial baseline plane. Indeed, in order to search the minimum $L_{1}$ -norm sparse solution, we apply the iterative reweighted least-squares method with an improved weight function that takes account of the baseline characteristics of the interferometric pairs. Moreover, we also introduce a quality function to identify those solutions that have no physical meaning. Although the proposed approach can be applied to different multitemporal DInSAR approaches, our analysis is tailored to the full-resolution small baseline subset (SBAS) ...
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Papers by Yasir Afsar