We present a general method for retrieving time-series of three component surface velocity field vector given a set of continuous synthetic aperture radar (SAR) acquisitions collected from multiple geometries. Our algorithm extends the single-line-of-sight mathematical framework developed for time-series analysis using interferometric SAR (InSAR) to three spatial dimensions. The inversion is driven by a design matrix corresponding to a dictionary of displacement functions parameterized in time. The resulting model minimizes a cost function using a non-regularized least-squares method. We applied our method to Rutford ice stream (RIS), West Antarctica, using a set of 101 multi-track multi-angle COSMO-SkyMed displacement maps generating azimuth and range pixel offsets.
Pietro Milillo, Brent Minchew, Piyush Agram, Bryan Riel, and Mark Simons, "3D velocity field time series using synthetic aperture radar: application to tidal-timescale ice-flow variability in Rutford Ice Stream, West Antarctica," Proc. SPIE 10003, SAR Image Analysis, Modeling, and Techniques XVI, 1000309 (Presented at SPIE Remote Sensing: September 29, 2016; Published: 28 October 2016); https://doi.org/10.1117/12.2241617.
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