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Ambiguity resolution method using BDS/INS model / F. Wu in Survey review, vol 55 n° 390 (May 2023)  

Public [article]  inSurvey review > vol 55 n° 390 (May 2023) . - pp 274 - 284 Titre : Ambiguity resolution method using BDS/INS model Type de document : Article/Communication Auteurs : F. Wu, Auteur ; J. Zhao, Auteur ; J. Xue, Auteur ; et al., Auteur Année de publication : 2023 Article en page(s) : pp 274 - 284 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale [Termes IGN] BDS-INS [Termes IGN] correction atmosphérique [Termes IGN] ligne de base [Termes IGN] modèle atmosphérique [Termes IGN] navigation inertielle [Termes IGN] positionnement par BeiDou [Termes IGN] résolution d'ambiguïté Résumé : (auteur) Due to the highly dynamic changes of the environment, the frequent loss of signal will seriously reduce the accuracy of realtime dynamic positioning. Meanwhile, the ambiguity resolution for medium/long baseline is more affected by atmospheric delay. To solve this problem, an Inertial Navigation System (INS) assisted Beidou Navigation System (BDS) medium/long baseline partial ambiguity resolution (PAR) method is designed. Firstly, constructing the BDS/INS tight integrated system that uses INS provided initial information to ambiguity resolution when the signal outages. Secondly, the atmospheric delay constraint is introduced to improve the precision of float ambiguity. Finally, the PAR based on the elevation angle information is applied to enhance fixed speed and accuracy. The vehicle experiments show that the proposed algorithm can quickly fix the ambiguity of medium/long baseline when the satellite signal outages for a short time, and improve the positioning accuracy of medium/long baseline in the dynamic environment. Numéro de notice : A2023-192 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00396265.2022.2089822 Date de publication en ligne : 28/06/2022 En ligne : https://doi.org/10.1080/00396265.2022.2089822 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103067 [article]

Calibration of stochastic cellular automata: the application to rural-urban land conversions / F. Wu in International journal of geographical information science IJGIS, vol 16 n° 8 (december 2002)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 16 n° 8 (december 2002) . - pp 795 - 818 Titre : Calibration of stochastic cellular automata: the application to rural-urban land conversions Type de document : Article/Communication Auteurs : F. Wu, Auteur Année de publication : 2002 Article en page(s) : pp 795 - 818 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection [Termes IGN] analyse multicritère [Termes IGN] automate cellulaire [Termes IGN] Chine [Termes IGN] croissance urbaine [Termes IGN] réseau neuronal artificiel [Termes IGN] simulation de surface Résumé : (Auteur) Despite the recognition of cellular automata (CA) as a flexible and powerful tool for urban growth simulation, the calibration of CA had been largely heuristic until recent efforts to incorporate multicriteria evaluation and artificial neural network into rule definition. This study developed a stochastic CA model, which derives its initial probability of simulation from observed sequential land use data. Furthermore, this initial probability is updated dynamically through local rules based on the strength of neighbourhood development. Consequentially the integration of global (static) and local (dynamic) factors produces more realistic simulation results. The procedure of calibrated CA can be applied in other contexts with minimum modification. In this study we applied the procedure to simulate ruralurban land conversions in the city of Guangzhou, China. Moreover, the study suggests the need to examine the result of CA through spatial, tabular and structural validation. Numéro de notice : A2002-260 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810210157769 En ligne : https://doi.org/10.1080/13658810210157769 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22171 [article]

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