An MLE of Interferometric Coherence Matrix and its Applications in Multipolarimetric Interferometric Phase Optimization and Phase Series Estimation
Multipolarimetric synthetic aperture radar (SAR) interferometric phase optimization and phase series estimation have received a lot of attentions recently from the polarimetry SAR interferometry (PolInSAR) community. In this article, a maximum likelihood estimation (MLE) method for the interferometr...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10294181/ |
| _version_ | 1827755142215106560 |
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| author | Guobing Zeng Huaping Xu Wei Liu Aifang Liu Yuan Wang |
| author_facet | Guobing Zeng Huaping Xu Wei Liu Aifang Liu Yuan Wang |
| author_sort | Guobing Zeng |
| collection | DOAJ |
| description | Multipolarimetric synthetic aperture radar (SAR) interferometric phase optimization and phase series estimation have received a lot of attentions recently from the polarimetry SAR interferometry (PolInSAR) community. In this article, a maximum likelihood estimation (MLE) method for the interferometric coherence matrix (ICM) is proposed, which is further applied to both interferometric phase optimization and phase series estimation. By modeling the PolInSAR coherence matrix as the Kronecker product of the polarimetric coherence matrix and ICM, the MLE of ICM under complex circular Gaussian distribution hypothesis is acquired through an alternate iterative optimization method. In addition, it is theoretically proved in this article that the two state-of-the-art methods, i.e., the TP (total power) method and the MLE-MPPL method, are suboptimal compared to the proposed method regarding the MLE of ICM. Numerical experiments are conducted on simulated fully polarimetric data, airborne fully polarimetric E-SAR data, and spaceborne dual polarimetric Sentinel-1A data, to confirm the effectiveness and superiority of the proposed method. |
| first_indexed | 2024-03-11T07:59:07Z |
| format | Article |
| id | doaj.art-c6ac7c5112ba4732820589d0d446b258 |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-03-11T07:59:07Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-c6ac7c5112ba4732820589d0d446b2582023-11-17T00:00:28ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352023-01-0116100071002110.1109/JSTARS.2023.332719610294181An MLE of Interferometric Coherence Matrix and its Applications in Multipolarimetric Interferometric Phase Optimization and Phase Series EstimationGuobing Zeng0https://orcid.org/0000-0002-1901-8695Huaping Xu1https://orcid.org/0000-0002-9559-3691Wei Liu2https://orcid.org/0000-0003-2968-2888Aifang Liu3https://orcid.org/0000-0002-3393-3806Yuan Wang4https://orcid.org/0000-0001-7721-7863School of Electronic and Information Engineering, Beihang University, Beijing, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing, ChinaDepartment of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K.China Electronics Technology Group Corporation 14th Research Institute, Nanjing, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing, ChinaMultipolarimetric synthetic aperture radar (SAR) interferometric phase optimization and phase series estimation have received a lot of attentions recently from the polarimetry SAR interferometry (PolInSAR) community. In this article, a maximum likelihood estimation (MLE) method for the interferometric coherence matrix (ICM) is proposed, which is further applied to both interferometric phase optimization and phase series estimation. By modeling the PolInSAR coherence matrix as the Kronecker product of the polarimetric coherence matrix and ICM, the MLE of ICM under complex circular Gaussian distribution hypothesis is acquired through an alternate iterative optimization method. In addition, it is theoretically proved in this article that the two state-of-the-art methods, i.e., the TP (total power) method and the MLE-MPPL method, are suboptimal compared to the proposed method regarding the MLE of ICM. Numerical experiments are conducted on simulated fully polarimetric data, airborne fully polarimetric E-SAR data, and spaceborne dual polarimetric Sentinel-1A data, to confirm the effectiveness and superiority of the proposed method.https://ieeexplore.ieee.org/document/10294181/Interferometric coherence matrix (ICM)interferometric phase optimizationmaximum likelihood estimation (MLE)phase series estimationPolInSAR |
| spellingShingle | Guobing Zeng Huaping Xu Wei Liu Aifang Liu Yuan Wang An MLE of Interferometric Coherence Matrix and its Applications in Multipolarimetric Interferometric Phase Optimization and Phase Series Estimation IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Interferometric coherence matrix (ICM) interferometric phase optimization maximum likelihood estimation (MLE) phase series estimation PolInSAR |
| title | An MLE of Interferometric Coherence Matrix and its Applications in Multipolarimetric Interferometric Phase Optimization and Phase Series Estimation |
| title_full | An MLE of Interferometric Coherence Matrix and its Applications in Multipolarimetric Interferometric Phase Optimization and Phase Series Estimation |
| title_fullStr | An MLE of Interferometric Coherence Matrix and its Applications in Multipolarimetric Interferometric Phase Optimization and Phase Series Estimation |
| title_full_unstemmed | An MLE of Interferometric Coherence Matrix and its Applications in Multipolarimetric Interferometric Phase Optimization and Phase Series Estimation |
| title_short | An MLE of Interferometric Coherence Matrix and its Applications in Multipolarimetric Interferometric Phase Optimization and Phase Series Estimation |
| title_sort | mle of interferometric coherence matrix and its applications in multipolarimetric interferometric phase optimization and phase series estimation |
| topic | Interferometric coherence matrix (ICM) interferometric phase optimization maximum likelihood estimation (MLE) phase series estimation PolInSAR |
| url | https://ieeexplore.ieee.org/document/10294181/ |
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