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Relating statistical characteristics of cross-polarized phase difference to speckle noise / Huimin Li in Journal of applied remote sensing, vol 9 (2015)  

Public [article]  inJournal of applied remote sensing > vol 9 (2015) . - 8 p. Titre : Relating statistical characteristics of cross-polarized phase difference to speckle noise Type de document : Article/Communication Auteurs : Huimin Li, Auteur ; Yunhua Wang, Auteur Année de publication : 2015 Article en page(s) : 8 p. Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] données polarimétriques [Termes IGN] filtrage du bruit [Termes IGN] image radar moirée [Termes IGN] matrice de covariance [Termes IGN] phase [Termes IGN] polarimétrie radar [Termes IGN] polarisation croisée Résumé : (auteur) A qualitative relationship between the statistical behavior of cross-polarized phase difference ϕhvvh and dominant noise type is examined based on the polarimetric noise model proposed. The noise model focusing on the covariance matrix is able to separate the multiplicative noise which only affects the amplitude from the additive noise that alters both the amplitude and phase. In the case of low noise, the phase is not affected by the noise and ϕhvvh distribution is predicted to be centered at 0 deg in terms of reciprocity theorem. The case of strong noise is much more complicated as the dominant noise type plays an important role in the statistics of ϕhvvh. The phase over the area where multiplicative noise dominates is not altered, thus the ϕhvvh distribution is expected to have similar behaviors to the case of low noise. However, the dominant additive noise would significantly affect the phase so that an obvious deviation from 0 deg for ϕhvvh distribution is expected. Experiments with Radarsat-2 full polarimetric imageries further validate this qualitative relationship. Numéro de notice : A2015-101 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1117/1.JRS.9.090599 En ligne : http://remotesensing.spiedigitallibrary.org/article.aspx?articleid=2091528 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75392 [article]

Multibaseline polarimetric synthetic aperture radar tomography of forested areas using wavelet-based distribution compressive sensing / Lei Liang in Journal of applied remote sensing, vol 9 (2015)  

Public [article]  inJournal of applied remote sensing > vol 9 (2015) Titre : Multibaseline polarimetric synthetic aperture radar tomography of forested areas using wavelet-based distribution compressive sensing Type de document : Article/Communication Auteurs : Lei Liang, Auteur ; Xinwu Li, Auteur ; Xizhang Gao, Auteur ; Huadong Guo, Auteur Année de publication : 2015 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] acquisition comprimée [Termes IGN] bande P [Termes IGN] données polarimétriques [Termes IGN] forêt tropicale [Termes IGN] Guyane (département français) [Termes IGN] image radar moirée [Termes IGN] modélisation 3D [Termes IGN] structure d'un peuplement forestier [Termes IGN] tomographie radar Résumé : (auteur) The three-dimensional (3-D) structure of forests, especially the vertical structure, is an important parameter of forest ecosystem modeling for monitoring ecological change. Synthetic aperture radar tomography (TomoSAR) provides scene reflectivity estimation of vegetation along elevation coordinates. Due to the advantages of super-resolution imaging and a small number of measurements, distribution compressive sensing (DCS) inversion techniques for polarimetric SAR tomography were successfully developed and applied. This paper addresses the 3-D imaging of forested areas based on the framework of DCS using fully polarimetric (FP) multibaseline SAR interferometric (MB-InSAR) tomography at the P-band. A new DCS-based FP TomoSAR method is proposed: a new wavelet-based distributed compressive sensing FP TomoSAR method (FP-WDCS TomoSAR method). The method takes advantage of the joint sparsity between polarimetric channel signals in the wavelet domain to jointly inverse the reflectivity profiles in each channel. The method not only allows high accuracy and super-resolution imaging with a low number of acquisitions, but can also obtain the polarization information of the vertical structure of forested areas. The effectiveness of the techniques for polarimetric SAR tomography is demonstrated using FP P-band airborne datasets acquired by the ONERA SETHI airborne system over a test site in Paracou, French Guiana. Numéro de notice : A2015-738 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1117/1.JRS.9.095048 En ligne : http://remotesensing.spiedigitallibrary.org/article.aspx?articleid=2466931 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78439 [article]