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Generating statistically robust multipath stacking maps using congruent cells / Thomas Fuhrmann in GPS solutions, vol 19 n° 1 (January 2015)
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[article]
Titre : Generating statistically robust multipath stacking maps using congruent cells Type de document : Article/Communication Auteurs : Thomas Fuhrmann, Auteur ; Xiaoguang Luo, Auteur ; Andreas Knöpfler, Auteur ; Michael Mayer, Auteur Année de publication : 2015 Article en page(s) : pp 83 - 92 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale
[Termes IGN] congruence
[Termes IGN] correction du trajet multiple
[Termes IGN] résidu
[Termes IGN] superposition
[Termes IGN] trajet multiple
[Termes IGN] valeur aberranteRésumé : (auteur) Multipath effects caused by reflections in the near-field and far-field of a GNSS antenna represent a major error source in static and kinematic GNSS positioning applications. Since these effects are strongly site-specific, a generally valid and practicable analytical multipath model is still lacking. In contrast, using GNSS carrier phase observation residuals, the multipath stacking (MPS) methods are able to take site-specific conditions into account. We propose an advanced approach to performing residual-based MPS in the space domain. Being superior to most conventional attempts in which stacking cells have a fixed azimuthal resolution, our suggested method makes use of congruent cells and rigorous statistical assessments in terms of outlier detection and significance evaluation of the stacked values. The advanced stacking approach is applied to representative phase residuals from static precise point positioning. The results show that the use of congruent cells allows for MPS at high elevation angles and with a fine spatial resolution. Applying the resulting MPS maps at the residual level, both near-field and far-field effects at high and low elevation angles, respectively, can be significantly mitigated. In comparison with the conventional approach, the advanced one enables a larger reduction of about 20 % in the SD of residuals. Numéro de notice : A2015-205 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1007/s10291-014-0367-7 Date de publication en ligne : 23/02/2014 En ligne : https://doi.org/10.1007/s10291-014-0367-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76018
in GPS solutions > vol 19 n° 1 (January 2015) . - pp 83 - 92[article]Accounting for Galileo–GPS inter-system biases in precise satellite positioning / Jacek Paziewski in Journal of geodesy, vol 89 n° 1 (January 2015)
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Titre : Accounting for Galileo–GPS inter-system biases in precise satellite positioning Type de document : Article/Communication Auteurs : Jacek Paziewski, Auteur ; Pawel Wielgosz, Auteur Année de publication : 2015 Article en page(s) : pp 81 - 93 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale
[Termes IGN] acquisition de données
[Termes IGN] analyse comparative
[Termes IGN] données GNSS
[Termes IGN] double différence
[Termes IGN] erreur systématique
[Termes IGN] fusion de données
[Termes IGN] positionnement différentiel
[Termes IGN] signal Galileo
[Termes IGN] signal GPS
[Termes IGN] stabilité dans le tempsRésumé : (auteur) Availability of two overlapping frequencies L1/E1 and L5/E5a of the signals transmitted by GPS and Galileo systems offers the possibility of tightly combining observations from both systems in a single observational model. A tightly combined observational model assumes a single reference satellite for all observations from both Galileo and GPS systems. However, when inter-system double-differenced observations are created, receiver inter-system bias is introduced. This study presents the results and the methodology for estimation and accounting for phase and code GPS-Galileo inter-system bias in precise relative positioning. The research investigates the size and temporal stability of the estimated bias for different receiver pairs as well as examines the influence of accounting for the inter-system bias on the user position solution. The obtained numerical results are based on four experiments carried out at different locations and time periods using both real and simulated GNSS data. Numéro de notice : A2015-329 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-014-0763-3 En ligne : https://doi.org/10.1007/s00190-014-0763-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76654
in Journal of geodesy > vol 89 n° 1 (January 2015) . - pp 81 - 93[article]Bayesian belief networks as a versatile method for assessing uncertainty in land-change modeling / Carsten Krüger in International journal of geographical information science IJGIS, vol 29 n° 1 (January 2015)
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Titre : Bayesian belief networks as a versatile method for assessing uncertainty in land-change modeling Type de document : Article/Communication Auteurs : Carsten Krüger, Auteur ; Tobia Lakes, Auteur Année de publication : 2015 Article en page(s) : pp 111 - 131 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] aide à la décision
[Termes IGN] Amazonie
[Termes IGN] Brésil
[Termes IGN] changement d'occupation du sol
[Termes IGN] changement d'utilisation du sol
[Termes IGN] déboisement
[Termes IGN] incertitude des données
[Termes IGN] modèle conceptuel de données spatio-temporelles
[Termes IGN] réseau bayesien
[Termes IGN] théorie de Dempster-ShaferRésumé : (auteur) Land-use and land-cover change modeling helps us to understand the driving factors and impacts of human-induced land changes better, and depict likely future development paths. Uncertainty associated with various steps in the modeling process substantially influences the reliability of the results, but until now it has only rarely been addressed. In this study, we explore uncertainty in land-change modeling using a probabilistic approach based on Bayesian belief networks. We apply this approach to a case study of deforestation in the Brazilian Amazon and identify three modeling steps as sources of uncertainty: model structure, variable selection, and data preprocessing. For these three steps, we quantify the uncertainty and the respective impact on the outcome accuracy. The results indicate remarkable uncertainties in each of the steps. We demonstrate that a higher uncertainty in the land-change modeling process does not necessarily lead to a lower accuracy of the modeling outcome. Moreover, we show that the different uncertainty sources only slightly influence the ratio between quantity disagreement and allocation disagreement for the modeling outcome. We conclude that uncertainty is inherent in land-change modeling, and that future studies should address this uncertainty more explicitly to improve the robustness of modeling outcomes for science and decision-making. Numéro de notice : A2015-532 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2014.949265 En ligne : http://www.tandfonline.com/doi/full/10.1080/13658816.2014.949265 Format de la ressource électronique : URL bulletin Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77763
in International journal of geographical information science IJGIS > vol 29 n° 1 (January 2015) . - pp 111 - 131[article]
Titre : Bayesian methods for statistical analysis Type de document : Guide/Manuel Auteurs : Borek Puza, Auteur Editeur : ANNU Press Année de publication : 2015 ISBN/ISSN/EAN : 978-1-921934-26-1 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques
[Termes IGN] analyse de données
[Termes IGN] inférence statistique
[Termes IGN] méthode de Monte-CarloRésumé : (Editeur) It's a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, Markov chain Monte Carlo methods, finite population inference, biased sampling and nonignorable nonresponse. The book contains many exercises, all with worked solutions, including complete computer code. It is suitable for self-study or a semester-long course, with three hours of lectures and one tutorial per week for 13 weeks. Note de contenu :
Chapter 1: Bayesian Basics Part 1
Chapter 2: Bayesian Basics Part 2
Chapter 3: Bayesian Basics Part 3
Chapter 4: Computational Tools
Chapter 5: Monte Carlo Basics
Chapter 6: MCMC Methods Part 1
Chapter 7: MCMC Methods Part 2
Chapter 8: Inference via WinBUGS
Chapter 9: Bayesian Finite Population Theory
Chapter 10: Normal Finite Population Models
Chapter 11: Transformations and Other Topics
Chapter 12: Biased Sampling and Nonresponse
Appendix A: Additional Exercises
Appendix B: Distributions and Notation
Appendix C: Abbreviations and AcronymsNuméro de notice : 22715 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Manuel En ligne : http://www.doabooks.org/doab?func=search&uiLanguage=en&template=&query=978192193 [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85226 Documents numériques
en open access
22715_Bayesian_methods_for_statistical_analysis.pdfAdobe Acrobat PDF
contenu dans Proceedings of SilviLaser 2015, 14th conference on Lidar Applications for Assessing and Managing Forest Ecosystems, September 28-30, 2015 - La Grande Motte, France / Sylvie Durrieu (2015)![]()
Titre : Computation of tree volume from terrestrial LiDAR data Type de document : Article/Communication Auteurs : Jules Morel, Auteur ; Alexandra Bac, Auteur ; Cédric Vega , Auteur
Editeur : Antony [France] : Institut national de recherche en sciences et technologies pour l’environnement et l’agriculture IRSTEA (2012-2019) Année de publication : 2015 Projets : 1-Pas de projet / Conférence : SilviLaser 2015, 14th conference on Lidar Applications for Assessing and Managing Forest Ecosystems 28/09/2015 30/09/2015 La Grande Motte France open access proceedings Importance : pp 308 - 310 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] distribution de Poisson
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] fonction de base radiale
[Termes IGN] placette d'échantillonnage
[Termes IGN] reconstruction d'objet
[Termes IGN] volume en boisRésumé : (auteur) This paper introduces a new method for the detailed estimation of volumes of individual trees from terrestrial laser scanner data. This method is based on adapted compactly supported radial basis function models together with a deformable models approach. Numéro de notice : C2015-043 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET/IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83731 Documents numériques
en open access
Computation of tree volumeAdobe Acrobat PDFConception d’une méthode de consolidation de grands réseaux lasergrammétriques / Emmanuel Clédat (2015)
PermalinkEstimation de la température de surface de la mer par Météosat seconde génération MSG-1 / Abdelkader Labbi in Photo interprétation, European journal of applied remote sensing, vol 51 n° 1 (janvier 2015)
PermalinkGOCE: assessment of GPS-only gravity field determination / Adrian Jäggi in Journal of geodesy, vol 89 n° 1 (January 2015)
PermalinkPermalinkPermalinkPermalinkImpact of vertical deflection on direct georeferencing of airborne images / M. Pepe in Survey review, vol 47 n° 340 (January 2015)
PermalinkIntegrating BIM with BMS in energy performance assessment: case study of a university building in UK / Ajiero Ikenna Reginald in International journal of 3-D information modeling, vol 4 n° 1 (January - March 2015)
PermalinkPermalinkMagic square of real spectral and time series analysis with an application to moving average processes / I. Krasbutter (2015)
PermalinkPositioning configurations with the lowest GDOP and their classification / Shuqiang Xue in Journal of geodesy, vol 89 n° 1 (January 2015)
PermalinkRegional gold potential mapping in Kelantan (Malaysia) using probabilistic based models and GIS / Suhaimizi Yusoff in Open geosciences, vol 7 n° 1 (January 2015)
PermalinkSimulating spatial aspects of a flash flood using the Monte Carlo method and GRASS GIS: a case study of the Malá Svinka Basin (Slovakia) / Jaroslav Hofierka in Open geosciences, vol 7 n° 1 (January 2015)
PermalinkStacked space-time densities: a geovisualisation approach to explore dynamics of space use over time / Urška Demšar in Geoinformatica, vol 19 n° 1 (January - March 2015)
PermalinkPermalinkPermalinkThe Guided Bilateral Filter: When the Joint/Cross Bilateral Filter Becomes Robust / Laurent Caraffa (2015)
PermalinkDetecting and analyzing mobility hotspots using surface networks / Y. Hu in Transactions in GIS, vol 18 n° 6 (December 2014)
PermalinkEvaluation of feature-based 3-d registration of probabilistic volumetric scenes / Maria I. Restrepo in ISPRS Journal of photogrammetry and remote sensing, vol 98 (December 2014)
PermalinkA hybrid framework for single tree detection from airborne laser scanning data: A case study in temperate mature coniferous forests in Ontario, Canada / Junjie Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 98 (December 2014)
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