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Prediction, detection and correction of Faraday: rotation in full-polarimetric L-Band SAR data / F.J. Meyer in IEEE Transactions on geoscience and remote sensing, vol 46 n° 10 Tome 2 (October 2008)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 46 n° 10 Tome 2 (October 2008) . - pp 3076 - 3086 Titre : Prediction, detection and correction of Faraday: rotation in full-polarimetric L-Band SAR data Type de document : Article/Communication Auteurs : F.J. Meyer, Auteur ; J.B. Nicoll, Auteur Année de publication : 2008 Conférence : IGARSS 2007, International Geoscience And Remote Sensing Symposium, sensing and understanding our planet 23/07/2007 27/07/2007 Barcelone Espagne Proceedings IEEE Article en page(s) : pp 3076 - 3086 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] bande L [Termes IGN] correction ionosphérique [Termes IGN] données polarimétriques [Termes IGN] image ALOS-PALSAR [Termes IGN] propagation ionosphérique Résumé : (Auteur) With the synthetic aperture radar (SAR) sensor PALSAR onboard the Advanced Land Observing Satellite, a new full-polarimetric spaceborne L-band SAR instrument has been launched into orbit. At L-band, Faraday rotation (FR) can reach significant values, degrading the quality of the received SAR data. One-way rotations exceeding 25° are likely to happen during the lifetime of PALSAR, which will significantly reduce the accuracy of geophysical parameter recovery if uncorrected. Therefore, the estimation and correction of FR effects is a prerequisite for data quality and continuity. In this paper, methods for estimating FR are presented and analyzed. The first unambiguous detection of FR in SAR data is presented. A set of real data examples indicates the quality and sensitivity of FR estimation from PALSAR data, allowing the measurement of FR with high precision in areas where such measurements were previously inaccessible. In examples, we present the detection of kilometer-scale ionospheric disturbances, a spatial scale that is not detectable by ground-based GPS measurements. An FR prediction method is presented and validated. Approaches to correct for the estimated FR effects are applied, and their effectiveness is tested on real data. Copyright IEEE Numéro de notice : A2008-527 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2008.2003002 En ligne : https://doi.org/10.1109/TGRS.2008.2003002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29597 [article]

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