D-of Insar Can Detect The Maximum And Minimum Deformation Gradient Of The Function Model Study

Today, Interferometric Synthetic Aperture Radar (InSAR) has been a well-established remote sensing technology for observing the earth surface, especially for monitoring the ground motion. Unfortunately, there remain extensive limitations to the availability of the interferometrically extracted deformation information. Reasons include non-uniform deformation rates with high spatial gradient and interferometric noise due to spatial and temporal decorrelation between the interferometric pair.Most of time, the both shortcomings above are not likely to overcome for the SAR imaging and InSAR theory, as a result, which render the image processing become difficult and then give rise to the underlying waste on human resource or purse. Therefore, it is crucial to predict the appropriateness of the differential interferometry for certain ground deformation monitoring.A great effort has made in 2005 by Ireneusz Baran, who presents the coherence-based deformation gradient model. However, the model needs to be refined by inducing more rigorous constraints and incorporating more representative parameters such as the look number. The objective of this study is to develop a novel D-InSAR decision-support model based on multilook factor and coherence that can be used to forecast whether certain deformation can be detected by D-InSAR.This dissertation first gives a systematic review of the work carried out in this domain, followed by the further analysis of the conditions for interferometry. The additional factors related to deformation gradient model have then been explored. Finally, reasonable extension on informed research and an essential generalization incorporating both parameters has been established respectively.At the end, the positive validation with real datasets over bam indicates that new model can serve as a tool to preliminary judge whether the InSAR technology can be used to monitor a given ground deformation and which look number can results in better monitoring of the deformation in data processing.