The Experts below are selected from a list of 250686 Experts worldwide ranked by ideXlab platform
Xiaolei Han - One of the best experts on this subject based on the ideXlab platform.
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Multichannel insar dem reconstruction through improved closed-form robust chinese remainder theorem
IEEE Geoscience and Remote Sensing Letters, 2013Co-Authors: Zhihui Yuan, Fei Li, Robert Wang, Yunkai Deng, Gang Liu, Xiaolei HanAbstract:Interferometric synthetic aperture radar (InSAR) multichannel system, which produces more than one interferogram in a multifrequency or multibaseline configuration, allows us to reconstruct highly sloped and discontinuous terrain height profiles. In this letter, a novel method based on a closed-form robust Chinese remainder theorem (CRT) is presented to solve the height reconstruction problem. Proper reference remainder selection and remainder Differential Process, which do not exist in the traditional CRT, are adopted to improve the robustness of the height reconstruction. We also modify the method by exploiting statistical characteristics of interferometric phase and the combined information of InSAR interferograms. Moreover, a special weighted mean filtering method is adopted to get a better result. Experimental results prove the effectiveness of the method.
Zhihui Yuan - One of the best experts on this subject based on the ideXlab platform.
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Multichannel insar dem reconstruction through improved closed-form robust chinese remainder theorem
IEEE Geoscience and Remote Sensing Letters, 2013Co-Authors: Zhihui Yuan, Fei Li, Robert Wang, Yunkai Deng, Gang Liu, Xiaolei HanAbstract:Interferometric synthetic aperture radar (InSAR) multichannel system, which produces more than one interferogram in a multifrequency or multibaseline configuration, allows us to reconstruct highly sloped and discontinuous terrain height profiles. In this letter, a novel method based on a closed-form robust Chinese remainder theorem (CRT) is presented to solve the height reconstruction problem. Proper reference remainder selection and remainder Differential Process, which do not exist in the traditional CRT, are adopted to improve the robustness of the height reconstruction. We also modify the method by exploiting statistical characteristics of interferometric phase and the combined information of InSAR interferograms. Moreover, a special weighted mean filtering method is adopted to get a better result. Experimental results prove the effectiveness of the method.
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multichannel insar dem reconstruction through closed form robust chinese remainder theorem
International Geoscience and Remote Sensing Symposium, 2012Co-Authors: Zhihui Yuan, Robert Wang, Yunkai Deng, Gang LiuAbstract:Interferometric synthetic aperture radar (InSAR) multichannel system, based on the collection of more interferograms acquired in a multifrequency or in a multibaseline configuration, allows us to reconstruct highly sloped and discontinuous terrain height profiles. In this paper, we present a new method to solve the digital elevation model (DEM) reconstruction problem using the closed-form robust Chinese remainder theorem (CRT). This method uses the remainder Differential Process, which does not exist in the traditional CRT, to improve the robustness of the DEM reconstruction. The simulation results demonstrate that the performance of the proposed method is better than statistical methods such as maximum likelihood (ML) estimation techniques, when the number of independent interferograms does not large enough.
Xiang-gen Xia - One of the best experts on this subject based on the ideXlab platform.
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A closed-form robust Chinese remainder theorem and its performance analysis
IEEE Transactions on Signal Processing, 2010Co-Authors: Wen-jie Wang, Xiang-gen XiaAbstract:Chinese remainder theorem (CRT) reconstructs an integer from its multiple remainders that is well-known not robust in the sense that a small error in a remainder may cause a large error in the reconstruction. A robust CRT has been recently proposed when all the moduli have a common factor and the robust CRT is a searching based algorithm and no closed-from is given. In this paper, a closed-form robust CRT is proposed and a necessary and sufficient condition on the remainder errors for the closed-form robust CRT to hold is obtained. Furthermore, its performance analysis is given. It is shown that the reason for the robustness is from the remainder Differential Process in both searching based and our proposed closed-form robust CRT algorithms, which does no exist in the traditional CRT. We also propose an improved version of the closed-form robust CRT. Finally, we compare the performances of the traditional CRT, the searching based robust CRT and our proposed closed-form robust CRT (and its improved version) algorithms in terms of both theoretical analysis and numerical simulations. The results demonstrate that the proposed closed-form robust CRT (its improved version has the best performance) has the same performance but much simpler form than the searching based robust CRT.
Gang Liu - One of the best experts on this subject based on the ideXlab platform.
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Multichannel insar dem reconstruction through improved closed-form robust chinese remainder theorem
IEEE Geoscience and Remote Sensing Letters, 2013Co-Authors: Zhihui Yuan, Fei Li, Robert Wang, Yunkai Deng, Gang Liu, Xiaolei HanAbstract:Interferometric synthetic aperture radar (InSAR) multichannel system, which produces more than one interferogram in a multifrequency or multibaseline configuration, allows us to reconstruct highly sloped and discontinuous terrain height profiles. In this letter, a novel method based on a closed-form robust Chinese remainder theorem (CRT) is presented to solve the height reconstruction problem. Proper reference remainder selection and remainder Differential Process, which do not exist in the traditional CRT, are adopted to improve the robustness of the height reconstruction. We also modify the method by exploiting statistical characteristics of interferometric phase and the combined information of InSAR interferograms. Moreover, a special weighted mean filtering method is adopted to get a better result. Experimental results prove the effectiveness of the method.
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multichannel insar dem reconstruction through closed form robust chinese remainder theorem
International Geoscience and Remote Sensing Symposium, 2012Co-Authors: Zhihui Yuan, Robert Wang, Yunkai Deng, Gang LiuAbstract:Interferometric synthetic aperture radar (InSAR) multichannel system, based on the collection of more interferograms acquired in a multifrequency or in a multibaseline configuration, allows us to reconstruct highly sloped and discontinuous terrain height profiles. In this paper, we present a new method to solve the digital elevation model (DEM) reconstruction problem using the closed-form robust Chinese remainder theorem (CRT). This method uses the remainder Differential Process, which does not exist in the traditional CRT, to improve the robustness of the DEM reconstruction. The simulation results demonstrate that the performance of the proposed method is better than statistical methods such as maximum likelihood (ML) estimation techniques, when the number of independent interferograms does not large enough.
Robert Wang - One of the best experts on this subject based on the ideXlab platform.
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Multichannel insar dem reconstruction through improved closed-form robust chinese remainder theorem
IEEE Geoscience and Remote Sensing Letters, 2013Co-Authors: Zhihui Yuan, Fei Li, Robert Wang, Yunkai Deng, Gang Liu, Xiaolei HanAbstract:Interferometric synthetic aperture radar (InSAR) multichannel system, which produces more than one interferogram in a multifrequency or multibaseline configuration, allows us to reconstruct highly sloped and discontinuous terrain height profiles. In this letter, a novel method based on a closed-form robust Chinese remainder theorem (CRT) is presented to solve the height reconstruction problem. Proper reference remainder selection and remainder Differential Process, which do not exist in the traditional CRT, are adopted to improve the robustness of the height reconstruction. We also modify the method by exploiting statistical characteristics of interferometric phase and the combined information of InSAR interferograms. Moreover, a special weighted mean filtering method is adopted to get a better result. Experimental results prove the effectiveness of the method.
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multichannel insar dem reconstruction through closed form robust chinese remainder theorem
International Geoscience and Remote Sensing Symposium, 2012Co-Authors: Zhihui Yuan, Robert Wang, Yunkai Deng, Gang LiuAbstract:Interferometric synthetic aperture radar (InSAR) multichannel system, based on the collection of more interferograms acquired in a multifrequency or in a multibaseline configuration, allows us to reconstruct highly sloped and discontinuous terrain height profiles. In this paper, we present a new method to solve the digital elevation model (DEM) reconstruction problem using the closed-form robust Chinese remainder theorem (CRT). This method uses the remainder Differential Process, which does not exist in the traditional CRT, to improve the robustness of the DEM reconstruction. The simulation results demonstrate that the performance of the proposed method is better than statistical methods such as maximum likelihood (ML) estimation techniques, when the number of independent interferograms does not large enough.