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Proceedings Paper

Study on interferometric combination for multi-temporal InSAR optimization
Author(s): Xu Wang; Yanbing Wang; Xiaojuan Li; Yahui Chen; Xin Chen; Wei Hong
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Paper 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.

Paper Details

Date Published: 8 November 2014
PDF: 11 pages
Proc. SPIE 9260, Land Surface Remote Sensing II, 92602Q (8 November 2014); doi: 10.1117/12.2068561
Show Author Affiliations
Xu Wang, Capital Normal Univ. (China)
Yanbing Wang, Capital Normal Univ. (China)
Xiaojuan Li, Capital Normal Univ. (China)
Yahui Chen, Capital Normal Univ. (China)
Xin Chen, Capital Normal Univ. (China)
Wei Hong, Capital Normal Univ. (China)

Published in SPIE Proceedings Vol. 9260:
Land Surface Remote Sensing II
Thomas J. Jackson; Jing Ming Chen; Peng Gong; Shunlin Liang, Editor(s)

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