Monitoring urban subsidence based on SAR lnterferometric point target analysis
Acta Geodaetica et Cartographica Sinica
By: Y. Zhang, Jiahua Zhang, W. Gong, and Z. Lu
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Abstract
lnterferometric point target analysis (IPTA) is one of the latest developments in radar interferometric processing. It is achieved by analysis of the interferometric phases of some individual point targets, which are discrete and present temporarily stable backscattering characteristics, in long temporal series of interferometric SAR images. This paper analyzes the interferometric phase model of point targets, and then addresses two key issues within IPTA process. Firstly, a spatial searching method is proposed to unwrap the interferometric phase difference between two neighboring point targets. The height residual error and linear deformation rate of each point target can then be calculated, when a global reference point with known height correction and deformation history is chosen. Secondly, a spatial-temporal filtering scheme is proposed to further separate the atmosphere phase and nonlinear deformation phase from the residual interferometric phase. Finally, an experiment of the developed IPTA methodology is conducted over Suzhou urban area. Totally 38 ERS-1/2 SAR scenes are analyzed, and the deformation information over 3 546 point targets in the time span of 1992-2002 are generated. The IPTA-derived deformation shows very good agreement with the published result, which demonstrates that the IPTA technique can be developed into an operational tool to map the ground subsidence over urban area.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Monitoring urban subsidence based on SAR lnterferometric point target analysis |
| Series title | Acta Geodaetica et Cartographica Sinica |
| Volume | 38 |
| Issue | 6 |
| Year Published | 2009 |
| Language | Chinese |
| Contributing office(s) | Earth Resources Observation and Science (EROS) Center |
| Description | 7 p. |
| First page | 482 |
| Last page | 493 |
| Google Analytic Metrics | Metrics page |