Centre de documentation
scientifique

Correction and characterization of radio frequency interference signatures in L-band synthetic aperture radar data / Franz J. Meyer in IEEE Transactions on geoscience and remote sensing, vol 51 n° 10 (October 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 10 (October 2013) . - pp 4961 - 4972 Titre : Correction and characterization of radio frequency interference signatures in L-band synthetic aperture radar data Type de document : Article/Communication Auteurs : Franz J. Meyer, Auteur ; Jeremy B. Nicoll, Auteur ; Anthony P. Doulgeris, Auteur Année de publication : 2013 Article en page(s) : pp 4961 - 4972 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] bande L [Termes IGN] étalonnage spectral [Termes IGN] image radar moirée [Termes IGN] interférence Résumé : (Auteur) Radio frequency interference (RFI) is a known issue in low-frequency radar remote sensing. In synthetic aperture radar (SAR) image processing, RFI can cause severe degradation of image quality, distortion of polarimetric signatures, and an increase of the SAR phase noise level. To address this issue, a processing system was developed that is capable of reliably detecting, characterizing, and mitigating RFI signatures in SAR observations. In addition to being the basis for image correction, the robust RFI-detection algorithms developed in this paper are used to retrieve a wealth of RFI-related information that allows for mapping, characterizing, and classifying RFI signatures across large spatial scales. The extracted RFI information is expected to be valuable input for SAR-system design, sensor operations, and the development of effective RFI-mitigation strategies. The concepts of RFI detection, analysis, and mapping are outlined. Large-scale RFI mapping results are shown. In case studies, the benefit of detailed RFI information for customized RFI filtering and sensor operations is exemplified. Numéro de notice : A2013-601 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2252469 En ligne : https://doi.org/10.1109/TGRS.2013.2252469 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32737 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2013101	RAB	Revue	Centre de documentation	En réserve L003	Disponible