A Method of Filtering and Unwrapping Sar Interferometric Phase Based on Nonlinear Phase Model

Huang, Haifeng; Wang, Qingsong

doi:10.2528/pier13080806

Cited by 13 publications

(6 citation statements)

References 32 publications

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“…This minimization requires a high calculation cost. To solve this problem, a lot of methods have been proposed such as unwrapping methods [4]- [10], filtering methods [11]- [17], local registration methods [18]- [21] and methods using polarimetric interferometric SAR (PolInSAR) [22]- [26].…”

Section: Introductionmentioning

confidence: 99%

Consideration on Singular-Point Generating Mechanisms by Analyzing the Effect of Phase-and-Polarization Optimization in PolInSAR

Otsuka

Shimada

Natsuaki

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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We elucidate the generation mechanisms of singular points (SPs) by investigating the relationship between the phase distortion and the polarization-state changes in polarimetric interferometric synthetic aperture radar (PolInSAR). We find that there is a high correlation between the parameters in the Pauli coherency matrix and those in the scattering mechanism vector optimized by the maximization of interferometric coherence. It means that there is a correlation between the parameters of polarization and those of the phase compensation. In other words, the main changes in phase and those in polarization are caused by an identical phenomenon, that is, scattering itself. Therefore, we can use the parameters of polarization to reduce SPs. We also find that other origins that cause the changes in phase are the interference of waves from multiple scattering sources and thermal noise. Lastly, we investigate how the optimization compensates polarization changes by introducing the scattering sphere representation. We find that the optimization reduces randomness in the polarimetric features, and enhances the features specific to deterministic scattering such as surface and double-bounce scattering. It means that probabilistic/random scattering is the main origin of SP generation.

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Section: Introductionmentioning

confidence: 99%

Consideration on Singular-Point Generating Mechanisms by Analyzing the Effect of Phase-and-Polarization Optimization in PolInSAR

Otsuka

Shimada

Natsuaki

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…Interferometric synthetic aperture radar (SAR, InSAR) is one of the main methods for generating digital elevation models (DEMs) and monitoring terrain deformation [ 1 , 2 ]. In recent years, many countries have developed their own SAR satellites.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Unscented Kalman Filter Phase Unwrapping Method and Its Application on Gaofen-3 Interferometric SAR Data

Gao

Zhang

et al. 2018

Sensors

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Phase unwrapping (PU) is a key step in the reconstruction of digital elevation models (DEMs) and the monitoring of surface deformation from interferometric synthetic aperture radar (SAR, InSAR) data. In this paper, an improved PU method that combines an amended matrix pencil model, an adaptive unscented kalman filter (AUKF), an efficient quality-guided strategy based on heapsort, and a circular median filter is proposed. PU theory and the existing UKFPU method are covered. Then, the improved method is presented with emphasis on the AUKF and the circular median filter. AUKF has been well used in other fields, but it is for the first time applied to interferometric images PU, to the best of our knowledge. First, the amended matrix pencil model is used to estimate the phase gradient. Then, an AUKF model is used to unwrap the interferometric phase based on an efficient quality-guided strategy based on heapsort. Finally, the key results are obtained by filtering the results using a circular median. The proposed method is compared with the minimum cost network flow (MCF), statistical cost network flow (SNAPHU), regularized phase tracking technique (RPTPU), and UKFPU methods using two sets of simulated data and two sets of experimental GF-3 SAR data. The improved method is shown to yield the greatest accuracy in the interferometric phase maps compared to the methods considered in this paper. Furthermore, the improved method is shown to be the most robust to noise and is thus most suitable for PU of GF-3 SAR data in high-noise and low-coherence regions.

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“…Thus far, overseas and domestic research on SBAS InSAR focused on improving the identification and selection of highly coherent pixels (Costantini, Falco, Malvarosa, & Minati, 2009;Ferretti, Novali, Zan, Prati, & Rocca, 2008), increasing the accuracy and efficiency of phase unwrapping (Heshmat, Tomioka, & Nishiyama, 2011;Huang & Wang, 2014), effectively separating error phase components (Li, Fielding, & Cross, 2006), constructing and robustly estimating deformation models (Jiang, Liu, & Tao, 2016;Zhai, Liu, Tao, & Xin, 2017) and extending new applications (Costantini, Mouratidis, Schiavon, & Francesco, 2016;Esmaeili, Motagh, & Hooper, 2017;Liu et al, 2014), etc. However, in practical applications, it was found that the quality and quantity of multi-temporal differential interferogram series seriously affected the monitored surface deformation results of StaMPS-based SBAS InSAR.…”

Section: Introductionmentioning

confidence: 99%

Optimal selection and application analysis of multi-temporal differential interferogram series in StaMPS-based SBAS InSAR

Qing

Gao

et al. 2018

European Journal of Remote Sensing

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The optimal selection of multi-temporal differential interferogram series is an important step to monitor ground subsidence using the Stanford method for persistent scatterers (StaMPS)based small baseline subset (SBAS) interferometric synthetic aperture radar (InSAR). Using a deformation model and its two solution methods, least squares and singular value decomposition, we present the composing mode and optimal selection of multi-temporal differential interferogram series and show that their quality and quantity affect the accuracy of monitored deformation information of SBAS InSAR. Using 29 ENVISAT ASAR images covering urban areas of Beijing, China, a different number of optimal multi-temporal differential interferogram series are formed to monitor urban ground subsidence by the StaMPS-based SBAS method. The comparison and verification of test results indicate that the quality and quantity of multi-temporal differential interferogram series substantially impact the singularity and degree of ill condition of the deformation model, locations of the selected slowly decorrelating filtered phase (SDFP) pixels, and monitored annual mean subsidence velocities. The suitable number of multi-temporal differential interferogram series under the optimal quality is 1-2 for a month in urban ground subsidence monitoring using StaMPS-based SBAS InSAR, a higher quantity of differential interferograms of the optimal quality is not always better.

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A Method of Filtering and Unwrapping Sar Interferometric Phase Based on Nonlinear Phase Model

Cited by 13 publications

References 32 publications

Consideration on Singular-Point Generating Mechanisms by Analyzing the Effect of Phase-and-Polarization Optimization in PolInSAR

Consideration on Singular-Point Generating Mechanisms by Analyzing the Effect of Phase-and-Polarization Optimization in PolInSAR

Adaptive Unscented Kalman Filter Phase Unwrapping Method and Its Application on Gaofen-3 Interferometric SAR Data

Optimal selection and application analysis of multi-temporal differential interferogram series in StaMPS-based SBAS InSAR

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