Let's {Do} the {Time} {Warp}: {Multicomponent} {Nonlinear} {Motion} {Estimation} in {Differential} {SAR} {Tomography}

In the differential synthetic aperture radar tomography (D-TomoSAR) system model, the motion history appears as a phase term. In the case of nonlinear motion, this phase term is no longer linear and, hence, cannot be retrieved by spectral estimation. We propose the “time warp” method that rearranges the acquisition dates such that a linear motion is pretended. The multicomponent generalization of time warp rewrites the D-TomoSAR system model to an (M + 1)-dimensional standard spectral estimation problem, where M indicates the user-defined motion model order and, hence, enables the motion estimation for all possible complex motion models. Both simulations and real data (from TerraSAR-X spotlight) examples demonstrate the applicability of the method and show that linear and periodic (seasonal) motion components can be separated and retrieved.     «

In the differential synthetic aperture radar tomography (D-TomoSAR) system model, the motion history appears as a phase term. In the case of nonlinear motion, this phase term is no longer linear and, hence, cannot be retrieved by spectral estimation. We propose the “time warp” method that rearranges the acquisition dates such that a linear motion is pretended. The multicomponent generalization of time warp rewrites the D-TomoSAR system model to an (M + 1)-dimensional standard spectral estimation...     »

Synthetic aperture radar, motion estimation, time warp simulation, D-TomoSAR system model, TerraSAR-X spotlight, complex motion model, differential synthetic aperture radar tomography, linear motion, motion history, multicomponent generalization, multicomponent nonlinear motion estimation, nonlinear motion, periodic motion component, spectral estimation, time warp method, user-defined motion model order, Differential synthetic aperture radar tomography (D-TomoSAR), TerraSAR-X (TS-X), time warp, radar imaging, Pixel, Remote sensing, synthetic aperture radar (SAR), tomography, multicomponent nonlinear motion, Estimation, Signal to noise ratio     «

Synthetic aperture radar, motion estimation, time warp simulation, D-TomoSAR system model, TerraSAR-X spotlight, complex motion model, differential synthetic aperture radar tomography, linear motion, motion history, multicomponent generalization, multicomponent nonlinear motion estimation, nonlinear motion, periodic motion component, spectral estimation, time warp method, user-defined motion model order, Differential synthetic aperture radar tomography (D-TomoSAR), TerraSAR-X (TS-X), time warp,...     »