Full metadata record
|dc.contributor||Faculty of Construction and Environment||en_US|
|dc.creator||Tsang, Yuen Yung||-|
|dc.publisher||Hong Kong Polytechnic University||-|
|dc.rights||All rights reserved||en_US|
|dc.title||Experimental study of monitoring structural deformation with InSAR technology||en_US|
|dcterms.abstract||Interferometric Synthetic Aperture Radar (InSAR) is developed in late 20th century and used in studying surface deformation information around the world. Nowadays, more and more InSAR monitoring techniques are proposed for monitoring deformation. Decorrelation due to temporal and geometric effects and phase error due to the spatial and temporal variations of the atmosphere are the two major error sources in InSAR measurements. To reduce the errors in the measurements, multi-temporal (MT) SAR intereferometry was proposed in the late 1990s. This technique deals with a time series of interferograms generated based on a single-master image and has three main categories, persistent scatterer (PS) methods, small baseline (SB) methods and the integration of PS and SB method. However, one limitation of current MT-InSAR methods is the difficulty in estimating the phase ambiguities correctly. Thus, Temporarily Coherent Point InSAR (TCPInSAR) technique is proposed to estimate deformation parameters reliably by avoiding the phase ambiguity estimation process as the density of the coherent points can be improved. To study such InSAR technique for monitoring deformation in depth, an experimental study by using high quality TerraSAR-X satellite images and TCPInSAR technique for monitoring structural deformation is carried out in this dissertation. TCPInSAR can estimate the deformation parameters reliably by avoiding the phase ambiguity estimation which will reduce the complexity of the deformation rates calculation. A set of multi master interferograms with short baseline (spatial and temporal) will be selected for estimating the deformation rates, which the double-difference phase components due to the topographic and atmospheric errors are very small, thus the phase ambiguities estimation can be eliminated. There are eight procedures in general for estimating the deformation rates: 1) Data preparation; 2) Baseline calculation; 3) Data selection with short baseline; 4) Coregistration; 5) Interferogram generation; 6) TCP identification and selection; 7) Wrapped phase extraction; 8) Parameters estimation. In this dissertation, TCPInSAR technique is reviewed and applied for monitoring the structural deformation in Macau as well as the performance of this technique is discussed.||en_US|
|dcterms.extent||ix, 81 leaves : color illustrations ; 30 cm||en_US|
|dcterms.LCSH||Surfaces, Deformation of -- Monitoring.||en_US|
|dcterms.LCSH||Surfaces, Deformation of -- Remote sensing.||en_US|
|dcterms.LCSH||Synthetic aperture radar.||en_US|
|dcterms.LCSH||Hong Kong Polytechnic University -- Dissertations||en_US|
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