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Auteur W. Jiang |
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An enhanced strategy for GNSS data processing of massive networks / H. Chen in Journal of geodesy, vol 88 n° 9 (September 2014)
[article]
Titre : An enhanced strategy for GNSS data processing of massive networks Type de document : Article/Communication Auteurs : H. Chen, Auteur ; W. Jiang, Auteur ; Maorong Ge, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 857-867 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] longueur d'onde
[Termes IGN] phase GNSS
[Termes IGN] positionnement ponctuel précis
[Termes IGN] résolution d'ambiguïtéRésumé : (Auteur)Although the computational burden of global navigation satellite systems (GNSS) data processing is nowadays already a big challenge, especially for huge networks, integrated processing of denser networks with data of multi-GNSS and multi-frequency is desired in the expectation of more accurate and reliable products. Based on the concept of carrier range, in this study, the precise point positioning with integer ambiguity resolution is engaged to obtain the integer ambiguities for converting carrier phases to carrier ranges. With such carrier ranges and pseudo-ranges, rigorous integrated processing is realized computational efficiently for the orbit and clock estimation using massive networks. The strategy is validated in terms of computational efficiency and product quality using data of the IGS network with about 460 stations. The experimental validation shows that the computation time of the new strategy increases gradually with the number of stations. It takes about 14 min for precise orbit and clock determination with 460 stations, while the current strategy needs about 82 min. The overlapping orbit RMS is reduced from 27.6 mm with 100 stations to 24.8 mm using the proposed strategy, and the RMS could be further reduced to 23.2 mm by including all 460 stations. Therefore, the new strategy could be applied to massive networks of multi-GNSS and multi-frequency receivers and possibly to achieve GNSS data products of higher quality. Numéro de notice : A2013-546 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-014-0727-7 Date de publication en ligne : 05/06/2014 En ligne : https://doi.org/10.1007/s00190-014-0727-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74028
in Journal of geodesy > vol 88 n° 9 (September 2014) . - pp 857-867[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 266-2014091 SL Revue Centre de documentation Revues en salle Disponible Photogrammetric exploitation of Ikonos imagery for mapping applications / C. Vincent Tao in International Journal of Remote Sensing IJRS, vol 25 n° 14 (July 2004)
[article]
Titre : Photogrammetric exploitation of Ikonos imagery for mapping applications Type de document : Article/Communication Auteurs : C. Vincent Tao, Auteur ; Y. Hu, Auteur ; W. Jiang, Auteur Année de publication : 2004 Article en page(s) : pp 2833 - 2853 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] extraction automatique
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] orthorectification
[Termes IGN] reconstruction 3D
[Termes IGN] stéréoscopie
[Termes IGN] test de performanceRésumé : (Auteur) The launch of IKONOS by Space Imaging opens a new era of high resolution satellite imagery collection and mapping. The IKONOS satellite simultaneously acquires 1m panchromatic and 4m multi-spectral images in four bands that are suitable for high accuracy mapping applications. Space Imaging uses the rational function model (RFM), also known as rational polynomial camera model, instead of the physical IKONOS sensor model to communicate the imaging geometry. As revealed by recent studies from several researchers, the RFM retains the full capability of performing photogrammetric processing in absence of the physical sensor model. This paper presents some RFM-based processing methods and mapping applications developed for 3D feature extraction, orthorectification and RPC model refinement using IKONOS imagery. Comprehensive tests are performed to test the accuracy of 3D reconstruction and orthorectification and to validate the feasibility of the model refinement techniques. Numéro de notice : A2004-293 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001618392 En ligne : https://doi.org/10.1080/01431160310001618392 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26820
in International Journal of Remote Sensing IJRS > vol 25 n° 14 (July 2004) . - pp 2833 - 2853[article]Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 080-04121 RAB Revue Centre de documentation En réserve L003 Exclu du prêt