Paper
15 November 2007 Monitoring urban subsidence with coherent target analysis method
Xin Tian, Lijun Lu, Mingsheng Liao, Deren Li, Zheng Fang, Hanmei Wang
Author Affiliations +
Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 67871A (2007) https://doi.org/10.1117/12.749343
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
Coherent Target Analysis (CTA) method derived for the (Interferometric SAR) InSAR data processing has developed as one of the critical techniques in the field of surveying subtle land deformation. This paper discusses the principles and characteristics of CTA procedure, which can remove the errors caused by temporal and spatial decorrelation and atmospheric effects. The paper presents the validation of characteristics of CTA applied in city subsidence in Shanghai test site, where has been affected by subsidence for more than eighty years. The 32 scenes from the ERS-1/2 satellites covering the test area between 1992 and 2000 were chosen and processed. Based on the theory of CTA, we can get the map of land subsidence of Shanghai. Quality assessment between the velocity fields derived of CTA and that of leveling data observed on benchmarks within the same periods is then discussed. The comparison with ground leveling data shows the derived result from CTA approach is consistent with leveling data. The further investigation of CTA approach in Shanghai will be continued to improve the accuracy and robustness.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xin Tian, Lijun Lu, Mingsheng Liao, Deren Li, Zheng Fang, and Hanmei Wang "Monitoring urban subsidence with coherent target analysis method", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67871A (15 November 2007); https://doi.org/10.1117/12.749343
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KEYWORDS
Synthetic aperture radar

Interferometric synthetic aperture radar

Interferometry

Data processing

Satellites

Atmospheric modeling

Sensors

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