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

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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… Click to show full abstract

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.

Keywords: small baseline; illposed problems; type estimator; liu type

Journal Title: Journal of Applied Remote Sensing
Year Published: 2018

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