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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)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 6 Tome 2 (June 2013) . - pp 3694 - 3705 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] tomographie Résumé : (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 [article]

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