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IGARSS’201124-29 July, Vancouver, Canada
Subsidence Monitoring Using Polarimetric Persistent Scatterers Interferometry
Victor D. Navarro-Sanchez and Juan M. Lopez-Sanchez
Signals, Systems and Telecommunications Group University of Alicante, Spain
IGARSS’201124-29 July, Vancouver, Canada
• Introduction
• PSI optimization
• Polarimetric behaviour
• Deformation results
• Conclusions and future work
Overview
IGARSS’201124-29 July, Vancouver, Canada
Introduction
Persistent Scatterers Interferometry (PSI)
• Used extensively to measure surface deformation evolution
• Exploits phase information of a stack of SAR differential interferograms
• Selects for processing only good quality points (pixel candidates)S
• Different quality criteria:
– Average coherence
– Amplitude dispersion index
– Others
• Traditionally formulated and applied to single-pol data
IGARSS’201124-29 July, Vancouver, Canada
Introduction
Concerning Polarimetry:
• Sensitive to physical features of the scene (orientation, shape...)
• Widely used for physical parameter retrieval (forest height, biomass, soil moisture, etc.)
• Polarimetric interferometry (PolInSAR) has a solid theoretical background
Motivation:
To find efficient ways to exploit polarimetric information in order to improve PSI performance:
- Increase of the quality and number of pixel candidates
- Extract additional information to classify scatterers
IGARSS’201124-29 July, Vancouver, Canada
PSI optimizationGeneral framework and formulation for vector interferometry
[Cloude and Papathanassiou, 1998]:
Scattering complex matrix (Sinclair Matrix):
Projection:
Target vector:
Scattering coefficient(scalar complex)(
Projection vector(normalized complex vector)(
IGARSS’201124-29 July, Vancouver, Canada
Formulation for vector interferometry adapted to the dual-pol case:
Projection vector parameterization:
Target vector:
Search
PSI optimization
Navarro-Sanchez et al., IEEE GRSL, 2010
IGARSS’201124-29 July, Vancouver, Canada
Average coherence optimization:
Average coherence:
Scalar interferometry:
Vector interferometry:
Constraint: ω1 = ω2 = ω ∀ k
PSI optimization
IGARSS’201124-29 July, Vancouver, Canada
Amplitude dispersion optimization:
Amplitude dispersion:
Scalar interferometry:
Vector interferometry:
Constraint: same ω ∀ i
Amplitude standard deviation
Average amplitude
PSI optimization
IGARSS’201124-29 July, Vancouver, Canada
Data set 40 images of Murcia (Spain) Feb-09 to May-10
• TerraSAR-X SLC data, stripmap mode
• Dual-pol: HH and VV
• Mean incidence angle: 37.8 degrees
• Resolution: 6.6m Az, 1.17m Rg
• Pixel spacing: 2.44m Az, 0.91m Rg
• Oversampling factors: 2.7 Az, 1.28 Rg
All images have been provided by DLR under the framework of project GEO0389
PSI optimization
IGARSS’201124-29 July, Vancouver, Canada
Histograms of γ and DA for conventional channels and computed optimum
PSI optimization
IGARSS’201124-29 July, Vancouver, Canada
Average coherence criterion, ML 7x7, threshold 0.7
VVPixels selected = 24.07%
OPTPixels selected = 38.57%
PSI optimization
IGARSS’201124-29 July, Vancouver, Canada
DA criterion, full-resolution, threshold 0.3
VVPixels selected = 6.01%
OPTPixels selected = 16.32%
PSI optimization
IGARSS’201124-29 July, Vancouver, Canada
Polarimetric Behaviour
Rural area
Urban area
IGARSS’201124-29 July, Vancouver, Canada
Polarimetric BehaviourAverage coherence criterion, ML 7x7, threshold 0.7
Interpretation of figures for the Pauli basisWhole scene Urban Rural
IGARSS’201124-29 July, Vancouver, Canada
Polarimetric BehaviourDA criterion, full-resolution, threshold 0.3
Interpretation of figures for the Pauli basisWhole scene Urban Rural
IGARSS’201124-29 July, Vancouver, Canada
Deformation results
• ML 7x7
•167 interferograms
• 3 selection layers:
γ > 0.9 - 0.8 - 0.7
IGARSS’201124-29 July, Vancouver, Canada
Deformation results
VV OPT
• New details are revealed
• Results are consistent with ground truth data and with those presented in [Herrera et al. 2010] (single pol, ML 3x3)
IGARSS’201124-29 July, Vancouver, Canada
Summary• PSI can be enhanced by exploiting polarimetric information:
– Average coherence: Improvement ≈ 60% more PCs selected
– Amplitude dispersion: Improvement ≈ 170% more PCs selected
• Polarimetric study of selected PSC:
– Multi-look data: Dominance of dihedral-like scatterers
– Single-look data: Dominance of anisotropic dihedrals and vertical structures
• Retrieved deformation maps are denser and consistent with ground truth, proving the suitability of the approach
• Future work: Study of selection criteria that make a more complete use of polarimetric information (i.e. polarimetric stationarity indicator)
• Future work: Quad-pol extension
IGARSS’201124-29 July, Vancouver, Canada
Subsidence Monitoring Using Polarimetric Persistent Scatterers Interferometry
Victor D. Navarro-Sanchez and Juan M. Lopez-Sanchez
Signals, Systems and Telecommunications Group University of Alicante, Spain