IEEE Transactions on geoscience and remote sensing / IEEE Geoscience and remote sensing society (Etats-Unis) . vol 51 n° 6 Tome 2Mention de date : June 2013 Paru le : 01/06/2013 ISBN/ISSN/EAN : 0196-2892 |
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est un bulletin de IEEE Transactions on geoscience and remote sensing / IEEE Geoscience and remote sensing society (Etats-Unis) (1986 -)
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Ajouter le résultat dans votre panierPolarization scatterer feature metric space / William L. Cameron in IEEE Transactions on geoscience and remote sensing, vol 51 n° 6 Tome 2 (June 2013)
[article]
Titre : Polarization scatterer feature metric space Type de document : Article/Communication Auteurs : William L. Cameron, Auteur ; Houra Rais, Auteur Année de publication : 2013 Article en page(s) : pp 3638 - 3647 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] coin réflecteur
[Termes IGN] diffusion du rayonnement
[Termes IGN] diffusométrie
[Termes IGN] polarisationRésumé : (Auteur) This paper extends prior work by Cameron and Rais to define new multidimensional representations of the reciprocal scatterer space and the general polarization scatterer space, including distance metric definitions for these representations. The relationship between the maximum symmetric scatterer type and the maximum value that can be attained by the asymmetry parameter is derived to determine the shape of the polarization reciprocal scatterer space. Moreover, a metric is derived for this space that reduces to the symmetric scatterer space metric when the asymmetry parameter is zero. These results are extended to the general polarization scatterer space by defining a metric on the polarization scatterer space that reduces to the polarization reciprocal scatterer metric when the reciprocity parameter Ørec is zero Numéro de notice : A2013-302 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2221466 En ligne : https://doi.org/ 10.1109/TGRS.2012.2221466 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32440
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 6 Tome 2 (June 2013) . - pp 3638 - 3647[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2013061B RAB Revue Centre de documentation En réserve L003 Disponible Superresolution multitarget parameter estimation in MIMO radar / Kai Luo in IEEE Transactions on geoscience and remote sensing, vol 51 n° 6 Tome 2 (June 2013)
[article]
Titre : Superresolution multitarget parameter estimation in MIMO radar Type de document : Article/Communication Auteurs : Kai Luo, Auteur ; Athanassios Manikas, Auteur Année de publication : 2013 Article en page(s) : pp 3683 - 3693 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] détection de cible
[Termes IGN] image à ultra haute résolution
[Termes IGN] interférenceRésumé : (Auteur) This paper is concerned with a multiple-input-multiple-output (MIMO) radar operating in an environment with two or more closely located targets. In this scenario, mutual target interference is a serious problem for multitarget parameter estimation, reducing the performance of existing methods such as least squares, Capon, and amplitude and phase estimation. In contrast to previous methods where the overall effect of mutual target interference is treated as “noise,” in this paper, two methods for suppressing this interference are proposed. The first is based on a constrained optimization problem that provides an iterative method. The second involves a novel nonlinear optimization based on a cost function of targets' directions which is solved using the biogeography-based-optimization algorithm. The performances of both the proposed approaches are evaluated via computer simulation studies and shown to outperform existing methods. Numéro de notice : A2013-303 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2226466 En ligne : https://doi.org/10.1109/TGRS.2012.2226466 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32441
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 6 Tome 2 (June 2013) . - pp 3683 - 3693[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2013061B RAB Revue Centre de documentation En réserve L003 Disponible Three-dimensional reconstruction of man-made objects using polarimetric tomographic / Shi-Qi Xing in IEEE Transactions on geoscience and remote sensing, vol 51 n° 6 Tome 2 (June 2013)
[article]
Titre : Three-dimensional reconstruction of man-made objects using polarimetric tomographic Type de document : Article/Communication Auteurs : Shi-Qi Xing, Auteur ; Yong-Zhen Li, Auteur Année de publication : 2013 Article en page(s) : pp 3694 - 3705 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] objet
[Termes IGN] polarimétrie radar
[Termes IGN] radar à antenne synthétique
[Termes IGN] reconstruction 3D
[Termes IGN] tomographieRésumé : (Auteur) The growing interest in 3-D reconstruction of targets, particularly man-made objects, has made synthetic aperture radar (SAR) tomography a hot topic in recent years. It obtains a 3-D reflectivity map by coherently processing multiple images acquired from slightly different views. This paper investigates the use of polarimetric tomographic SAR to reconstruct 3-D images of man-made objects and proposes a polarimetric 3-D reconstruction technique, based on the multiple-measurement vector compressive sensing (CS) (MMV-CS) model and Tikhonov regularization theory. The main feature of the technique is that of allowing joint reconstruction of polarimetric 3-D reflectivity maps with high resolution. For X-band tomographic SAR, we demonstrate that the phase error induced by an array element error is severe enough to prevent data focusing and propose a phase calibration technique employing prominent scatterers to adapt the proposed technique to practice. To check the plausibility of our algorithms, a ground-based SAR system is introduced, and high-resolution 3-D images obtained by processing the real collected data are presented. As special cases of the new proposed technique, both the Tikhonov regularization and the MMV-CS method reconstruct the targets successfully and give an accurate estimate for the vehicle size. Compared to the Tikhonov regularization method, the MMV-CS technique exhibits much better superresolution power and lower sidelobe level. The advantage of the MMV-CS technique over the single-measurement vector CS technique is also demonstrated, and the phase calibration algorithm is verified. Numéro de notice : A2013-304 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2220145 En ligne : https://doi.org/ 10.1109/TGRS.2012.2220145 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32442
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 6 Tome 2 (June 2013) . - pp 3694 - 3705[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2013061B RAB Revue Centre de documentation En réserve L003 Disponible Estimation of glacier ice extinction using long-wavelength airborne Pol-InSAR / Jayanti J. Sharma in IEEE Transactions on geoscience and remote sensing, vol 51 n° 6 Tome 2 (June 2013)
[article]
Titre : Estimation of glacier ice extinction using long-wavelength airborne Pol-InSAR Type de document : Article/Communication Auteurs : Jayanti J. Sharma, Auteur ; Irena Hajnsek, Auteur ; Konstantinos P. Papathanassiou, Auteur ; Alberto Moreira, Auteur Année de publication : 2013 Article en page(s) : pp 3715 - 3732 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] banquise
[Termes IGN] changement climatique
[Termes IGN] données polarimétriques
[Termes IGN] estimation statistique
[Termes IGN] glacier
[Termes IGN] image aérienne
[Termes IGN] reconstruction 3DRésumé : (Auteur) In the recent years, there has been increased interest in using synthetic aperture radar (SAR) to study and monitor glaciers and ice sheets for glaciological and climate change research. This paper describes the estimation of ice extinctions through the modeling of polarimetric interferometric SAR (Pol-InSAR) coherences as a combination of a surface contribution (from the snow-firn interface and wind-induced sastrugi features) and a volume response. Ground-to-volume scattering ratios derived from a novel polarimetric decomposition are used in conjunction with Pol-InSAR coherence magnitudes to invert the extinction of the ice layer. The inversion is performed for experimental airborne Pol-InSAR data at L-band and P-band acquired by the German Aerospace Center's (DLR) E-SAR system over the Austfonna ice cap in Svalbard, Norway, as part of the 2007 IceSAR campaign. Extinction dependences on frequency and glacier facie are investigated, and validation is performed comparing ground-penetrating radar data to SAR backscatter and extinction values. Best extinction results are obtained at shallow incidence angles with small wavenumbers and for low ground-to-volume scattering ratios. For swath areas in mid range to far range, accuracies of 25% in extinction are anticipated when averaging over 100 effective looks for a four-baseline inversion constraining solutions to vertical wavenumbers of 0.01 Numéro de notice : A2013-305 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2220855 En ligne : https://doi.org/10.1109/TGRS.2012.2220855 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32443
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 6 Tome 2 (June 2013) . - pp 3715 - 3732[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2013061B RAB Revue Centre de documentation En réserve L003 Disponible