Study on interferometric combination for multi-temporal InSAR optimization

Xu Wang; Yanbing Wang; Xiaojuan Li; Yahui Chen; Xin Chen; Wei Hong

doi:10.1117/12.2068561

8 November 2014 Study on interferometric combination for multi-temporal InSAR optimization

Xu Wang, Yanbing Wang, Xiaojuan Li, Yahui Chen, Xin Chen, Wei Hong

Proceedings Volume 9260, Land Surface Remote Sensing II; 92602Q (2014) https://doi.org/10.1117/12.2068561
Event: SPIE Asia-Pacific Remote Sensing, 2014, Beijing, China

Abstract

Differential synthetic aperture radar interferometry (InSAR) has already proven its potential for ground subsidence monitoring. In recent years Multi-Temporal InSAR technology has been rapid development. Coherence of interferogram is an important indicator to measure the interferometric phase in the Multi-Temporal InSAR system. This paper study the effect of the Spatial-Temporal baseline on coherence for SAR images in Multi-Temporal InSAR processing base on the aspect of statistics. on the basis of a large amount of data, a formula for calculating coherence for SAR images was deduced which it correspond to the relationship between Spatial-Temporal baseline and the coherence of interferogram. This formula can optimize the selection of interference image pairs during processing Multi-Temporal InSAR. To determine whether this formula is useful, two methods of interference image pairs selection was used, one is the formula to optimize the selection, another is the traditional fixed threshold method. The author compared the coherence of Interferogram to judge the merits of the two methods. The results indicate that the formula not only select more interferogram from interferogram stack, but also increase the number of highly coherent points. And use SBAS-InSAR technique to obtain the 2010-2013 Beijing urban land subsidence information, verification monitoring accuracy by comparing level monitoring result.

Citation Download Citation

Xu Wang, Yanbing Wang, Xiaojuan Li, Yahui Chen, Xin Chen, and Wei Hong "Study on interferometric combination for multi-temporal InSAR optimization", Proc. SPIE 9260, Land Surface Remote Sensing II, 92602Q (8 November 2014); https://doi.org/10.1117/12.2068561

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KEYWORDS

Interferometry

Interferometric synthetic aperture radar

Synthetic aperture radar

Coherence (optics)

Image processing

Analytical research

Mathematical modeling

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