Abstract
Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) can improve interferometric coherence and phase quality, which has good application potential. With the development of the Mini-SAR system, Unmanned Aerial Vehicle borne (UAV-borne) PolInSAR systems became a reality. However, UAV-borne PolInSAR is easily affected by air currents and other factors, which may cause large motion errors and polarization distortion inevitably exists. However, there are few pieces of research which are about motion compensation residual error (MCRE) and polarization distortion effects on PolInSAR. Though the effects of MCRE on Interferometric SAR (InSAR) and polarization distortion on PolInSAR were studied, respectively, these two parts are independently modeled and analyzed. In this paper, a model that simultaneously considers the effects of these two kinds of errors is proposed, and simulation results are given to validate the model. Then, a quantitative analysis based on a real Quadcopter UAV PolInSAR system is performed according to the model, which is valuable for system design and practical application of the UAV-borne PolInSAR system.
Highlights
Interferometric Synthetic Aperture Radar (InSAR) is an important technique to acquire a digital surface model (DSM) of the ground based on the phase differences of at least two complex-valued SAR images
We propose a model of motion compensation residual error (MCRE) and polarization distortion impact on PolInSAR
We analyze the effects of MCRE, polarization distortion, and the two factors together on a real Unmanned Aerial Vehicle (UAV) PolInSAR system, which obtains a range of parameters and gives reference to system design and application
Summary
Interferometric Synthetic Aperture Radar (InSAR) is an important technique to acquire a digital surface model (DSM) of the ground based on the phase differences of at least two complex-valued SAR images. Lintao Zhang et al put forward a model of polarization distortion impact on PolInSAR phase [16] This model supposed ideal interferometric conditions, which did not consider baseline error and MCRE. It is necessary to quantitatively analyze the influence of MCRE and polarization distortion on PolInSAR, to support the system design and practical application. We propose a model of MCRE and polarization distortion impact on PolInSAR. We analyze the influence of MCRE, polarization distortion, and two factors together on a real UAV. We analyze the effects of MCRE, polarization distortion, and the two factors together on a real UAV PolInSAR system, which obtains a range of parameters and gives reference to system design and application
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