Application of the Liu-type estimator in illposed problems of small baseline subsets deformation monitoring

Min Zhai; Guolin Liu; Qiuxiang Tao; Tengfei Gao; Mingzhen Xin

doi:10.1117/1.JRS.12.036021

25 September 2018 Application of the Liu-type estimator in illposed problems of small baseline subsets deformation monitoring

Min Zhai, Guolin Liu, Qiuxiang Tao, Tengfei Gao, Mingzhen Xin

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 12, Issue 3, 036021 (September 2018). https://doi.org/10.1117/1.JRS.12.036021

Abstract

To overcome the illposed problems existing in small baseline subsets deformation, the Liu-type estimator is used to improve the accuracy of calculation. The Liu-type estimator introduces parameter d to improve the fitting and statistical properties after the condition number of the design matrix is reduced to the desired level, which makes the solution of illposed problems robust. In the experiment, subsidence rates relevant to the Beijing area are computed from the ENVISAT satellite radar data from the European Space Agency from 2007 to 2010. The experimental results show that the accuracy of the deformation rates computed with the Liu-type estimator is clearly improved.

Citation Download Citation

Min Zhai, Guolin Liu, Qiuxiang Tao, Tengfei Gao, and Mingzhen Xin "Application of the Liu-type estimator in illposed problems of small baseline subsets deformation monitoring," Journal of Applied Remote Sensing 12(3), 036021 (25 September 2018). https://doi.org/10.1117/1.JRS.12.036021

Received: 13 February 2018; Accepted: 4 September 2018; Published: 25 September 2018

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