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Communication Dans Un Congrès Année : 2022

A New Phase Linking Algorithm for Multi-temporal InSAR based on the Maximum Likelihood Estimator

Résumé

This paper presents a new algorithm for improving the estimation of interferometric SAR (InSAR) phases in the context of time series and phase linking approach. Based on maximum likelihood estimator of a multivariate Gaussian model, the estimation of the InSAR phases is solved using a Block Coordinate Descent algorithm. Compared to the state-of-the-art approaches, the main improvement lies on the joint estimation of the covariance matrix and the InSAR phases instead of using a plug-in coherence estimate obtained from the sample covariance of the data or the modeling of the temporal decorrelation of the target under observation. Results of synthetic simulations confirm the improvement brought by the proposed estimator.
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Dates et versions

hal-03761316 , version 1 (26-08-2022)

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  • HAL Id : hal-03761316 , version 1

Citer

Phan Viet Hoa VU, Frédéric Brigui, Arnaud Breloy, Yajing Yan, Guillaume Ginolhac. A New Phase Linking Algorithm for Multi-temporal InSAR based on the Maximum Likelihood Estimator. IEEE International Geoscience and Remote Sensing Symposium ( IGARSS ) 2022, Jul 2022, Kuala Lumpur, Malaysia. ⟨hal-03761316⟩
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