Results 151 to 160 of about 641,092 (210)
Graphene-based metasurface: dynamic optical control in ultrathin flat optics. [PDF]
Baek S +8 more
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Retinal nerve fibre layer thickness is associated with attention and predicts risk states of dementia. [PDF]
Schroeter ML +19 more
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Mueller and Kennaugh matrices in radar polarimetry
This paper is concerned with the notions of the Mueller matrix and the Kennaugh (or Stokes scattering) matrix, that are commonly used in the field of radar polarimetry. Although these two matrices are quite similar, there exists a basic difference between them that seems to have been overlooked by a number of researchers, resulting in a great deal of ...
Guissard, Albert
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Imaging radar polarimetry: a review
Proceedings of the IEEE, 1991Presents a tutorial review of the broad sweep of topics relating to imaging radar polarimetry, ranging from mathematical foundations to hardware and from implementation approaches to signal processing and calibration. The authors examine current developments in sensor technology and implementation for recording polarimetric measurements, and describe ...
J J van Zyl, H A Zebker
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On foundations of radar polarimetry
IEEE Transactions on Antennas and Propagation, 1986Polarization aspects of the radar target scattering problem are reexamined. The optimization problem of radar polarimetry is formulated and Kennaugh's method of finding optimal polarizations is modified and extended to nonreciprocal and bistatic cases. Our approach does not necessitate diagonalization of the target scattering operator and therefore, a ...
A. Kostinski, W. Boerner
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Statistical Aspects of Radar Polarimetry
2004A comparison between the Kennaugh and the covariance matrix formulation of second- order moments radar and optical polarimetry reveals fundamental relationships between target decompositions and power and variance aspects of radar back scattering and transmission for point and randomly distributed targets.
Ernst, Luneburg +1 more
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The Eigenvector-Eigenvalue Identity and Radar Polarimetry
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021Eigenvalues and eigenvectors of the polarimetric covariance or coherency matrices play an integral role either directly or indirectly in the analysis and classification of radar polarimetric data. Since these matrices are hermitian their eigenvalues are real and are found simply as the roots of the characteristic polynomial of these matrices.
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Basic Theory of Radar Polarimetry
2021This chapter briefly discusses Synthetic Aperture Radar (SAR) imaging principles and the theory of SAR polarimetry. The descriptions of several polarimetric parameters and their expressions are presented in this chapter. SAR imaging principles are introduced, followed by the description of wave and polarimetric scattering concepts. Several polarimetric
Dipankar Mandal +2 more
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