scholarly journals Effects of Motion Compensation Residual Error and Polarization Distortion on UAV-Borne PolInSAR

2021 ◽  
Vol 13 (4) ◽  
pp. 618
Author(s):  
Zexin Lv ◽  
Fangfang Li ◽  
Xiaolan Qiu ◽  
Chibiao Ding
Keyword(s):  
Motion Compensation ◽  
Residual Error ◽  
Synthetic Aperture ◽  
Interferometric Synthetic Aperture Radar ◽  
Practical Application ◽  
Aerial Vehicle ◽  
Application Potential ◽  
Large Motion ◽  
Simulation Results ◽  
Interferometric Sar

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.

scholarly journals Patterns of wind-drifted snow on the Alaskan arctic slope, detected with ERS-1 interferometric SAR

2002 ◽  
Vol 48 (163) ◽  
pp. 495-504 ◽  
Author(s):  
Shusun Li ◽  
Matthew Sturm
Keyword(s):  
Large Scale ◽  
Geometric Model ◽  
Synthetic Aperture ◽  
Interferometric Synthetic Aperture Radar ◽  
Mountain Ridge ◽  
Arctic Alaska ◽  
Wind Event ◽  
Interferometric Sar ◽  
Lateral Variations ◽  
Very High

AbstractWe tested whether spaceborne interferometric synthetic aperture radar (InSAR) could be used to reveal patterns of redistribution of wind-drifted snow in arctic Alaska. Based on a simple geometric model, we found that lateral variations in new-snow (assuming a density of 0.3 g cm−3) accumulation of > 11 cm, or redistribution of the existing snow into dunes of half this height, could produce decorrelation of C-band interferograms. Comparison of interferograms with field observations for two periods from winter 1993/94, one with wind but little new snow, and the second with wind and new snow, indicates the interferograms delineated areas where the snow depth had changed due to drifting. Striking patterns of windward scouring and leeward deposition were revealed. The interferograms also showed that during one high-wind event, conspicuous interferometric bands a few kilometers wide and 30 km long were formed downwind of a mountain ridge. We speculate that these bands were caused by large-scale alterations in the concentrations of moving snow particles, a finding consistent with ground observations of alternating bands of clear air and blizzard for the same area and similar to phenomena observed with the Advanced Very High Resolution Radiometer and the Geodetic Earth Observing Satellite during blizzards in North Dakota and Iowa, U.S.A.

scholarly journals Multi-Temporal Small Baseline Interferometric SAR Algorithms: Error Budget and Theoretical Performance

2021 ◽  
Vol 13 (4) ◽  
pp. 557
Author(s):  
Antonio Pepe
Keyword(s):  
Synthetic Aperture Radar ◽  
Phase Unwrapping ◽  
Synthetic Aperture ◽  
Interferometric Synthetic Aperture Radar ◽  
Error Budget ◽  
Multi Temporal ◽  
Small Baseline ◽  
Time Inconsistent ◽  
Interferometric Sar ◽  
Aperture Radar

Multi-temporal interferometric synthetic aperture radar (MT-InSAR) techniques are well recognized as useful tools for detecting and monitoring Earth’s surface temporal changes. In this work, the fundamentals of error noise propagation and perturbation theories are applied to derive the ground displacement products’ theoretical error bounds of the small baseline (SB) differential interferometric synthetic aperture radar algorithms. A general formulation of the least-squares (LS) optimization problem, representing the SB methods implementation’s core, was adopted in this research study. A particular emphasis was placed on the effects of time-uncorrelated phase unwrapping mistakes and time-inconsistent phase disturbances in sets of SB interferograms, leading to artefacts in the attainable InSAR products. Moreover, this study created the theoretical basis for further developments aimed at quantifying the error budget of the time-uncorrelated phase unwrapping mistakes and studying time-inconsistent phase artefacts for the generation of InSAR data products. Some experiments, performed by considering a sequence of synthetic aperture radar (SAR) images collected by the ASAR sensor onboard the ENVISAT satellite, supported the developed theoretical framework.

A Novel Registration Algorithm for Pol-InSAR Images Based on the RVOG Model

2012 ◽  
Vol 198-199 ◽  
pp. 1475-1480
Author(s):  
Sha Sha Wu ◽  
Dao Wei Yan ◽  
Zheng Lu ◽  
Ming Ming Bian
Keyword(s):  
Image Registration ◽  
Signal To Noise Ratio ◽  
Synthetic Aperture ◽  
Interferometric Synthetic Aperture Radar ◽  
Estimation Result ◽  
Coordinate Plane ◽  
Signal To Noise ◽  
Registration Algorithm ◽  
Forested Areas ◽  
Simulation Results

In the processing of the polarimetric interferometric synthetic aperture radar (Pol-InSAR), the image registration is a key procedure. If the error of image registration occurs, the signal-to-noise ratio (SNR) of the interferometric image will be lowered and the precision of the height estimation will be decreased. Numerous registration algorithms have been proposed to solve the above-mentioned problem. However, in forested areas, the effect of volume scattering is significant. This property yields the fact that the characteristic of phase and frequency in the interferometric image is not obvious, leading to the worse performance of conventional registration algorithms. In this paper, a novel registration algorithm based on the random volume over ground (RVOG) model is presented. The method employs the fact that the coherence coefficients of the same pixel are displayed as a beeline in the complex coordinate plane for forested scenes. The image offset which yields the best linearity of coherence coefficients will be treated as the final estimation result. Simulation results verify that this method is able to provide the image registration estimation in the pixel and sub-pixel levels.

scholarly journals A Spatial Variant Motion Compensation Algorithm for High-Monofrequency Motion Error in Mini-UAV-Based BiSAR Systems

2021 ◽  
Vol 13 (17) ◽  
pp. 3544
Author(s):  
Zhanze Wang ◽  
Feifeng Liu ◽  
Simin He ◽  
Zhixiang Xu
Keyword(s):  
Motion Compensation ◽  
High Frequency ◽  
Error Model ◽  
Joint Estimation ◽  
Synthetic Aperture ◽  
Spatial Variance ◽  
Motion Error ◽  
Compensation Algorithm ◽  
Aerial Vehicle ◽  
Bistatic Synthetic Aperture Radar

High-frequency motion errors can drastically decrease the image quality in mini-unmanned-aerial-vehicle (UAV)-based bistatic synthetic aperture radar (BiSAR), where the spatial variance is much more complex than that in monoSAR. High-monofrequency motion error is a special BiSAR case in which the different motion errors from transmitters and receivers lead to the formation of monofrequency motion error. Furthermore, neither of the classic processors, BiSAR and monoSAR, can compensate for the coupled high-monofrequency motion errors. In this paper, a spatial variant motion compensation algorithm for high-monofrequency motion errors is proposed. First, the bistatic rotation error model that causes high-monofrequency motion error is re-established to account for the bistatic spatial variance of image formation. Second, the corresponding parameters of error model nonlinear gradient are obtained by the joint estimation of subimages. Third, the bistatic spatial variance can be adaptively compensated for based on the error of the nonlinear gradient through contour projection. It is suggested based on the simulation and experimental results that the proposed algorithm can effectively compensate for high-monofrequency motion error in mini-UAV-based BiSAR system conditions.

scholarly journals R&D OF DRONE-BORNE SAR SYSTEM

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 263-267 ◽  
Author(s):  
T. Deguchi ◽  
T. Sugiyama ◽  
M. Kishimoto
Keyword(s):  
Satellite Data ◽  
Ground Surface ◽  
Maintenance Management ◽  
Synthetic Aperture ◽  
Open Pit ◽  
Interferometric Synthetic Aperture Radar ◽  
Practical Application ◽  
Open Pit Mines ◽  
Position Information ◽  
Stability Monitoring

<p><strong>Abstract.</strong> DInSAR (Differential Interferometric Synthetic Aperture Radar) is already well-known as an effective application technique of SAR data for the displacement measuring of the ground surface. The authors are developing a drone-borne SAR that can apply DInSAR analysis. In Japan, which has suffered various disasters, the slope stability monitoring for active volcanoes, landslide slopes, open-pit mines, etc., and the maintenance management for aging infrastructures are considered important issues. Therefore, by effectively utilizing the position information and terrain information obtained from the satellite data, we have started an R&amp;D project aiming at practical application of DInSAR technology with drone-borne SAR.</p>

scholarly journals Interferometric SAR monitoring of the Vallcebre landslide (Spain) using corner reflectors

2013 ◽  
Vol 13 (4) ◽  
pp. 923-933 ◽  
Author(s):  
M. Crosetto ◽  
J. A. Gili ◽  
O. Monserrat ◽  
M. Cuevas-González ◽  
J. Corominas ◽  
...  
Keyword(s):  
Deformation Monitoring ◽  
Synthetic Aperture ◽  
Interferometric Synthetic Aperture Radar ◽  
Phase Component ◽  
Eastern Pyrenees ◽  
Monitoring Technique ◽  
Data Analysis Procedure ◽  
Main Observation ◽  
Interferometric Sar

Abstract. This paper describes the deformation monitoring of the Vallcebre landslide (Eastern Pyrenees, Spain) using the Differential Interferometric Synthetic Aperture Radar (DInSAR) technique and corner reflectors (CRs). The fundamental aspects of this satellite-based deformation monitoring technique are described to provide the key elements needed to fully understand and correctly interpret its results. Several technical and logistic aspects related to the use of CRs are addressed including an analysis of the suitability of DInSAR data to monitor a specific landslide, a discussion on the choice of the type of CRs, suggestions for the installation of CRs and a description of the design of a CR network. This is followed by the description of the DInSAR data analysis procedure required to derive deformation estimates starting from the main observables of the procedure, i.e., the interferometric phases. The main observation equation is analysed, discussing the role of each phase component. A detailed discussion is devoted to the phase unwrapping problem, which has a direct impact on the deformation monitoring capability. Finally, the performance of CRs for monitoring ground displacements has been tested in the Vallcebre landslide (Eastern Pyrenees, Spain). Two different periods, which provide interesting results to monitor over time the kinematics of different parts of the considered landslide unit, are analysed and described.

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