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 |
| _version_ | 1848764599581540352 |
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| author | Bui, Luyen Khac |
| author_facet | Bui, Luyen Khac |
| author_sort | Bui, Luyen Khac |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T11:21:55Z |
| format | Thesis |
| id | curtin-20.500.11937-83668 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:21:55Z |
| publishDate | 2021 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-836682021-05-21T02:30:30Z Small baseline subset InSAR data processing: design of interferogram networks and noise analysis in InSAR-derived deformation time series Bui, Luyen Khac 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. 2021 Thesis http://hdl.handle.net/20.500.11937/83668 Curtin University fulltext |
| spellingShingle | Bui, Luyen Khac Small baseline subset InSAR data processing: design of interferogram networks and noise analysis in InSAR-derived deformation time series |
| title | Small baseline subset InSAR data processing: design of interferogram networks and noise analysis in InSAR-derived deformation time series |
| title_full | Small baseline subset InSAR data processing: design of interferogram networks and noise analysis in InSAR-derived deformation time series |
| title_fullStr | Small baseline subset InSAR data processing: design of interferogram networks and noise analysis in InSAR-derived deformation time series |
| title_full_unstemmed | Small baseline subset InSAR data processing: design of interferogram networks and noise analysis in InSAR-derived deformation time series |
| title_short | Small baseline subset InSAR data processing: design of interferogram networks and noise analysis in InSAR-derived deformation time series |
| title_sort | small baseline subset insar data processing: design of interferogram networks and noise analysis in insar-derived deformation time series |
| url | http://hdl.handle.net/20.500.11937/83668 |