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School/Department:遥感信息工程学院

沈鹏

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Gender:Male

Alma Mater:中南大学

Paper Publications

JPPL: A Joint-Polarization Phase Linking Algorithm for Phase Optimization of TSPolInSAR Data
Date of Publication:2022-07-01 Hits:

DOI number:10.1016/j.jag.2022.102889
Journal:International Journal of Applied Earth Observation and Geoinformation
Key Words:Polarimetric optimization; Time-series interferometric SAR (TSInSAR); Phase linking (PL); Joint diagonalization; Distributed scatterer (DS)
Abstract:In the time-series interferometric SAR (TSInSAR) technology, the phase linking (PL) algorithm can exploit all interferometric combinations to reconstruct the equivalent single master (ESM) interferograms for the phase quality improvement. According to the Cramer-Rao lower bound (CRLB) for PL, besides the number of spatial samples, the time-series coherence magnitude matrix determines the reconstruction performance of the ESM phases. With the abundance of time-series polarimetric SAR data, many polarimetric optimization algorithms for distributed scatterer (DS) have been introduced, mainly the averaged coherence magnitude maximization-based exhaustive search polarimetric optimization (ESPO) algorithm. However, traditional polarimetric optimization algorithms cannot work satisfactorily because of the unstable statistical characteristics. Similarly, the multi-temporal observations of each polarimetric channel contain interferometric information. From the perspective of redundant observation, introducing full-polarization information can increase the number of observations significantly. Therefore, based on the PL theory and the polarimetric optimization, this paper proposes to perform the joint diagonalization method to simultaneously extract the ESM interferometric phases of interest from three time-series coherence matrices in the Pauli basis polarizations, called the joint-polarization phase linking (JPPL) algorithm. In the experiments, the proposed JPPL algorithm can better improve the optimization performance of time-series interferometric phases of DSs than the HH and traditional ESPO algorithms in terms of speckle noise reduction and interferometric phase restoration.
Co-author:Hu Chihao, Hu Jun, Fu Haiqiang, Zhu Jianjun
Indexed by:Journal paper
Correspondence Author:Wang Changcheng
Discipline:Engineering
Document Type:J
Volume:112
Page Number:102889
Translation or Not:no
Date of Publication:2022-07-01
Included Journals:SCI
Links to published journals:https://www-sciencedirect-com-s.vpn.whu.edu.cn/science/article/pii/S1569843222000917
Date of Publication:2022-07-01