Small baseline subset InSAR data processing: design of interferogram networks and noise analysis in InSAR-derived deformation time series
MetadataShow full item record
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.
Showing items related by title, author, creator and subject.
Disruptive influences of residual noise, network configuration and data gaps on InSAR-derived land motion rates using the SBAS techniqueBui, Luyen ; Featherstone, Will ; Filmer, Mick (2020)© 2020 The interferometric synthetic aperture radar (InSAR) small baseline subset (SBAS) technique can be applied to land with varying deformation magnitudes ranging from mm/yr to tens of cm/yr. SBAS defines a network of ...
Kühnapfel, Thorsten (2009)For humans, hearing is the second most important sense, after sight. Therefore, acoustic information greatly contributes to observing and analysing an area of interest. For this reason combining audio and video cues for ...
Baran, Ireneusz (2004)Synthetic aperture radar interferometry (InSAR) is a technique that enables generation of Digital Elevation Models (DEMs) and detection of surface motion at the centimetre level using radar signals transmitted from a ...