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All-dielectric polarization-sensitive metasurface for terahertz polarimetric imaging. [PDF]
Baek J, Kim J, Seol JH, Kim M.
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IEEE Transactions on Geoscience and Remote Sensing, 2021
Model-based incoherent polarimetric decomposition is a frequently used technique to analyze multilook data of polarimetric synthetic aperture radars (POLSARs). The purpose of this study is to analyze and compare different model-based incoherent polarimetric decomposition algorithms from the polarimetric information change aspect.
Wentao An, Mingsen Lin
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Model-based incoherent polarimetric decomposition is a frequently used technique to analyze multilook data of polarimetric synthetic aperture radars (POLSARs). The purpose of this study is to analyze and compare different model-based incoherent polarimetric decomposition algorithms from the polarimetric information change aspect.
Wentao An, Mingsen Lin
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Fast General Polarimetric Model-Based Decomposition
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021The scattering mechanism interpretation of oriented manmade targets especially those with large orientation angles is a challenging task. Recently, to fit the cross-polarization and off-diagonal terms, physically meaningful double-bounce and odd-bounce scattering models have been developed by modeling their independent orientation angles. Nevertheless,
Guo-Qing Wu, Si-Wei Chen, Yong-Zhen Li
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Nonlinear PCA based polarimetric decomposition
2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013The operational level reached by polarimetric data processing techniques has been demonstrated during the last decade. The next generation of spaceborne Synthetic Aperture Radar satellites will implement full- or dual- polarimetric capabilities. In few years a huge amount of data will have to be processed in a fast and reliable way, implementing ...
R.G. Avezzano +4 more
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Target Polarimetric Decompositions of PolSAR Image
2021Target polarimetric decomposition is one of the most important aspects of polarimetric microwave imaging. The objective of polarimetric decomposition is to express the polarimetric information of the target as a combination of many known objects, such as a plate, a dihedral, a helix, a line, and a sphere, so we can understand and analyze the scattering
Ruliang Yang +5 more
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Target decomposition in polarimetric interferometric SAR
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017We presented two target decomposition methods for polarimetric interferometric SAR (PolInSAR) images parallel to the eigen-decomposition and scattering power decomposition for polarimetric SAR (PolSAR) images. For both cases, we showed the importance of PolInSAR coherence estimation, and in particular, the newly proposed best normal matrix ...
Yi Cui +3 more
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Phase decomposition in polarimetric SAR interferometry
IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174), 1998The authors formulate a new coherent decomposition algorithm for polarimetric SAR interferometry which allows the decomposition of interferometric problems into a set of coherent scattering mechanisms. The proposed algorithm allows the generation of interferograms related to certain independent scattering mechanism and consequently the extraction of ...
K.P. Papathanassiou, S.R. Cloude
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Requirements for Model-based Polarimetric Decompositions
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008Several authors have proposed decompositions of measured polarimetric covariance matrices into the weighted sums of individual covariance matrices that represent known scattering models. In this paper we critically examine some minimum requirements that these model-based polarimetric scattering decompositions must satisfy.
Jakob J. van Zyl +2 more
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Advanced Polarimetric Target Decomposition
2018In past decades, many scientists and researchers have been involved in the field of interpreting scattering mechanisms presenting in PolSAR data. Polarimetric target decomposition has become one of the most powerful and the most popularly used techniques.
Si-Wei Chen +3 more
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