Small baseline subset InSAR data processing: design of interferogram networks and noise analysis in InSAR-derived deformation time series
This dissertation assesses the influence of residual interferometric noise on SBAS InSAR, utilises redundancy numbers to design a SBAS network and analyses the noise in the SBAS-derived deformation time-series. The simulation results indicated that a contradictory trend may be derived if a network w...
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| Format: | Thesis |
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Curtin University
2021
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| Online Access: | http://hdl.handle.net/20.500.11937/83668 |
| Summary: | This dissertation assesses the influence of residual interferometric noise on SBAS InSAR, utilises redundancy numbers to design a SBAS network and analyses the noise in the SBAS-derived deformation time-series. The simulation results indicated that a contradictory trend may be derived if a network with fewer interferograms is applied to low-magnitude deformation and a network with redundancy number between ~0.8 and ~0.9 is “optimal”. A white plus flicker model best describes the noise model of deformation time-series. |
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