2021
DOI: 10.1109/jstars.2021.3070750
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An Adaptive Phase Optimization Algorithm for Distributed Scatterer Phase History Retrieval

Abstract: The multi-temporal interferometric synthetic aperture radar (InSAR) technique based on distributed scatterers (DSs) has been widely applied in high-precision deformation measurements, which compensates for the drawback that the persistent scatterer InSAR technique does not obtain sufficient monitoring points, especially in rural areas. Considering that DS pixels are susceptible to various decorrelation factors, it is necessary to retrieve the optimal phase series by phase optimization algorithms (POAs). Howeve… Show more

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Cited by 14 publications
(12 citation statements)
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“…SqueeSAR [26], in contrast to SBAS methods, provides another way to derive DS pixels by using a typical two-step strategystatistically homogeneous pixel (SHP) identification and the phase optimization algorithm. Many enhanced SHP identification algorithms and phase optimization algorithms [27], [28], [29], [30], [31], [32], [33] were subsequently proposed to improve the performance of DS InSAR time-series analysis. In engineering applications, the probability integral method (PIM) is usually used for mining subsidence prediction.…”
Section: Introductionmentioning
confidence: 99%
“…SqueeSAR [26], in contrast to SBAS methods, provides another way to derive DS pixels by using a typical two-step strategystatistically homogeneous pixel (SHP) identification and the phase optimization algorithm. Many enhanced SHP identification algorithms and phase optimization algorithms [27], [28], [29], [30], [31], [32], [33] were subsequently proposed to improve the performance of DS InSAR time-series analysis. In engineering applications, the probability integral method (PIM) is usually used for mining subsidence prediction.…”
Section: Introductionmentioning
confidence: 99%
“…First, in the deformation region with dense interferometric fringes, averaging SHPs obscures the phase continuity in the spatial domain, especially for large-gradient deformation monitoring, and in the case of using low-and medium-resolution SAR data, such as Sentinel-1A/B images [16]. Second, interferograms with longer temporal intervals and larger deformation are usually unusable, even with the SHPs filter and temporal phase optimization methods.…”
Section: Introductionmentioning
confidence: 99%
“…Attempts have additionally been made to ensure optimal phase estimation by integer least square (LS) [23], goodness-of-fit [15], adaptive phase optimization [24], and by using corner reflectors to validate phase observations [25,26]. However, the spatio-temporal PhU [27,28] remains yet a challenging and ill-posed problem that possibly leads to the incorrect estimation of deformation TS.…”
Section: Introductionmentioning
confidence: 99%