Polarimetric Optimization of Temporal Sublook Coherence for DInSAR Applications

Iglesias, Rubén; Monells, Dani; López-Martínez, Carlos; Mallorquí, Jordi J.; Fábregas, X.; Aguasca, A.

doi:10.1109/lgrs.2014.2326684

Cited by 22 publications

(11 citation statements)

References 17 publications

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“…D A , suitable for PSs) [13]- [15], [23], [24] or the maximization of the coherence stability (γ, suitable for DSs) [13]- [15], [20]- [22], [25]- [28]. Another phase quality metric, the temporal sublook coherence (TSC) [29], [30], has also been proposed to optimize interferograms [30], and it is effective mainly for point-like scatterers (i.e. PSs).…”

Section: Introductionmentioning

confidence: 99%

SMF-POLOPT: An Adaptive Multitemporal Pol(DIn)SAR Filtering and Phase Optimization Algorithm for PSI Applications

Zhao

Mallorquí

2019

IEEE Trans. Geosci. Remote Sensing

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Speckle noise and decorrelation can hamper the application and interpretation of PolSAR images. In this paper, a new adaptive multi-temporal Pol(DIn)SAR filtering and phase optimization algorithm is proposed to address these limitations. This algorithm first categorizes and adaptively filters permanent scatterer (PS) and distributed scatterer (DS) pixels according to their polarimetric scattering mechanisms (i.e. the Scattering-Mechanism based Filtering (SMF)). Then two different POLDIn-SAR phase OPTimization methods are applied separately on the filtered PS and DS pixels (i.e. POLOPT). Finally, an inclusive pixel selection approach is used to identify high quality pixels for ground deformation estimation. 31 full-polarization Radarsat-2 SAR images over Barcelona (Spain) and 31 dual-polarization TerraSAR-X images over Murcia (Spain) have been used to evaluate the performance of the proposed algorithm. The PolSAR filtering results show that the speckle of PolSAR images has been well reduced with the preservation of details by the proposed SMF. The obtained ground deformation monitoring results have shown significant improvements, about ×7.2 (the fullpolarization case) and ×3.8 (the dual-polarization case) w.r.t. the classical full-resolution single-pol amplitude dispersion method, on the valid pixels' densities. The excellent PolSAR filtering and ground deformation monitoring results achieved by the adaptive Pol(DIn)SAR filtering and phase optimization algorithm (i.e. the SMF-POLOPT) have validated the effectiveness of this proposed scheme.

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Section: Introductionmentioning

confidence: 99%

SMF-POLOPT: An Adaptive Multitemporal Pol(DIn)SAR Filtering and Phase Optimization Algorithm for PSI Applications

Zhao

Mallorquí

2019

IEEE Trans. Geosci. Remote Sensing

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“…Overall, ESM achieves a higher coherence in both sparsely and densely vegetated surfaces but it achieves higher coherence improvements in bare and sparsely vegetated surfaces (Figure 3.4). These results are consistent with other studies in rural settings (Navarro-Sanchez et al, 2010) (Iglesias et al, 2015).…”

Section: Coherence Optimizationsupporting

confidence: 94%

Quality aspects of distributed scatterers in polarimetric differential SAR interferometry

Mullissa

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“…The functional architecture of (15) has the same essentially role with that of [11] because they both have four independent parameters and can be expressed for each other.…”

Section: B New Methods Based On Snr Optimizationmentioning

confidence: 99%

New Methods in Multibaseline Polarimetric SAR Interferometry Coherence Optimization

Tong

Chen

et al. 2015

IEEE Geosci. Remote Sensing Lett.

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A new extension method in the equal scattering mechanism (ESM) from single baseline to multibaseline (MB) for polarimetric synthetic aperture radar interferometry (PolInSAR) coherence optimization is proposed in this letter. However, despite this, this new method and the traditional available methods such as Best, ESM, MB-ESM, and suboptimum scattering mechanism have their disadvantages in the framework of differential interferometric SAR (DInSAR) applications. The ESM method cannot guarantee the global maximum in theory and just optimizes an approximation formula of the original coherence definition, which leads to a deviation. The method using exhaustive search polarimetric optimization (ESPO) must search four parameters one by one in a defined step size and cost the main computational drawback. Focusing on the disadvantage of these methods, this letter proposes another new method to transform the 4-D optimization problem into two independent 2-D problems, which costs less time than that by ESPO with basically the same accuracy. Seven full polarimetric RADARSAT-2 images are taken for experiment, and the results show that this new method has a better effect in computation time and accuracy for DInSAR applications.Index Terms-Coherence optimization, multibaseline (MB), polarimetric synthetic aperture radar interferometry (PolInSAR).

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Polarimetric Optimization of Temporal Sublook Coherence for DInSAR Applications

Cited by 22 publications

References 17 publications

SMF-POLOPT: An Adaptive Multitemporal Pol(DIn)SAR Filtering and Phase Optimization Algorithm for PSI Applications

SMF-POLOPT: An Adaptive Multitemporal Pol(DIn)SAR Filtering and Phase Optimization Algorithm for PSI Applications

Quality aspects of distributed scatterers in polarimetric differential SAR interferometry

New Methods in Multibaseline Polarimetric SAR Interferometry Coherence Optimization

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