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Titre : GPS time-variable seasonal signals modeling Type de document : Mémoire Auteurs : Qiang Chen, Auteur Editeur : Stuttgart : University of Stuttgart Année de publication : 2015 Importance : 65 p. Format : 21 x 30 cm Note générale : bibliographie
mémoire de master, Université de StuttgartLangues : Anglais (eng) Descripteur : [Termes IGN] analyse comparative
[Termes IGN] analyse de spectre singulier
[Termes IGN] compensation par moindres carrés
[Termes IGN] données GPS
[Termes IGN] filtrage du bruit
[Termes IGN] filtre de Kalman
[Termes IGN] oscillation
[Termes IGN] série temporelle
[Termes IGN] variation saisonnière
[Vedettes matières IGN] Traitement de données GNSSIndex. décimale : MX Mémoires divers Résumé : (auteur) Seasonal signals (annual plus semi-annual) in GPS time series are of great importance for understanding the evolution of regional mass, i.e. ice and hydrology. Conventionally these signals (annual and semi-annual) are derived by least-squares fitting of harmonic terms with a constant amplitude and phase. In reality, however, such seasonal signals are modulated, i.e. they will have a time-variable amplitude and phase. Recently, Davis et al. (2012) proposed a Kalman filter based approach to capture the stochastic seasonal behavior of geodetic time series. In this study, a non-parametric approach, singular spectrum analysis (SSA) is introduced. It uses time domain data to extract information from short and noisy time series without prior knowledge of the dynamics affecting the time series. A prominent benefit is that obtained trends are not necessarily linear and extracted oscillations can be amplitude and phase modulated. In this work, the capability of SSA for analyzing time-variable seasonal signals from GPS time series is investigated. We also compare SSA-based results to two model-based results, i.e. least-squares analysis and Kalman filtering. Our results show that singular spectrum analysis could be a viable and complementary tool for exploring modulated oscillations from GPS time series. Based on the SSA-derived seasonal signals, we look into the effects of the input noise variances in the framework of Kalman filtering. Two Kalman filtering based approaches with different process noise models are compared over 79 GPS sites. We find that the basic Kalman filtering technique with the input noise model suggested by Davis et al. (2012) turns out to be optimal. Numéro de notice : 17348 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Mémoire masters divers En ligne : http://dx.doi.org/10.18419/opus-8824 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83707 Impact of vertical deflection on direct georeferencing of airborne images / M. Pepe in Survey review, vol 47 n° 340 (January 2015)
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Titre : Impact of vertical deflection on direct georeferencing of airborne images Type de document : Article/Communication Auteurs : M. Pepe, Auteur ; G. Prezioso, Auteur ; Raffaele Santamaria, Auteur Année de publication : 2015 Article en page(s) : pp 71 - 76 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] distorsion d'image
[Termes IGN] erreur systématique
[Termes IGN] géoréférencement direct
[Termes IGN] verticaleRésumé : (auteur) This paper is aimed at analysing the influence of the vertical deflection (DOV) in direct georeferencing (DG) of image data from an aerial digital frame camera. Without considering the value of the DOV, a systematic error is involved in the determination of the point position. This investigation has been carried out considering several values of the vertical deviation and, for each of them, the vertical and horizontal error obtained by varying the FOV (Field of View) over the altitude has been analysed. Numéro de notice : A2015-961 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1179/1752270614Y.0000000087 En ligne : https://doi.org/10.1179/1752270614Y.0000000087 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79949
in Survey review > vol 47 n° 340 (January 2015) . - pp 71 - 76[article]Integrating 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)
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Titre : Integrating BIM with BMS in energy performance assessment: case study of a university building in UK Type de document : Article/Communication Auteurs : Ajiero Ikenna Reginald, Auteur Année de publication : 2015 Article en page(s) : pp 19 - 44 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] architecture
[Termes IGN] bâtiment
[Termes IGN] économie d'énergie
[Termes IGN] estimation statistique
[Termes IGN] modélisation 3D du bâti BIM
[Termes IGN] photogrammétrie terrestreRésumé : (auteur) In recent times, energy performance assessment has gained a legislative imperative in that it constitutes an indispensable criterion for preparing Energy Performance Certificates (EPCs). Accordingly, production of EPC which is heralded by energy audits and simulations using BIM software programs heavily depends on data accuracy. Whereas, there have been several studies on Building Information Modelling (BIM) and Building Management System (BMS) autonomously, peer reviewed literature on both regimes in concert, remain unavailable or perhaps emerging; thus, constituting a gap in the use of BIM for energy analysis. Against this background, a university administrative building with a Gross Floor Area (GFA) of 2353.91m2 has been the object of a comprehensive energy performance assessment. The principal aim being to use data collected from BMS readings to assess the building's energy performance, produce its EPC and highlight energy conservation strategies that will improve the building's productivity without compromising occupants' comfort. This study therefore attempts to put the teeming theoretical efforts on BIM in energy management into a practical perspective. Numéro de notice : A2015-214 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article DOI : 10.4018/IJ3DIM.2015010102 En ligne : http://doi.org/10.4018/IJ3DIM.2015010102 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76142
in International journal of 3-D information modeling > vol 4 n° 1 (January - March 2015) . - pp 19 - 44[article]Réservation
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Titre : Korrektur stationsabhängiger Fehler bei GNSS Type de document : Thèse/HDR Auteurs : Andreas Knöpfler, Auteur Editeur : Munich : Bayerische Akademie der Wissenschaften Année de publication : 2015 Collection : DGK - C, ISSN 0065-5325 num. 744 Importance : 177 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-7696-5156-0 Note générale : bibliographie
akademisches Grades eines Doktor-Ingenieurs von der Fakultüt für Bauingenieur-, Geo- und Umweltwissenschaften des Karlsruher Instituts für TechnologieLangues : Allemand (ger) Descripteur : [Vedettes matières IGN] Géodésie spatiale
[Termes IGN] antenne GNSS
[Termes IGN] centre de phase
[Termes IGN] erreur systématique
[Termes IGN] étalonnage d'instrument
[Termes IGN] modèle d'erreur
[Termes IGN] positionnement ponctuel précis
[Termes IGN] positionnement statique
[Termes IGN] résidu
[Termes IGN] traitement de données GNSS
[Termes IGN] trajet multipleMots-clés libres : stacking map Index. décimale : 30.60 Géodésie spatiale Résumé : (auteur) Highly precise positioning techniques based on Global Navigation Satellite Systems (GNSS) have become a standard tool for numerous disciplines, benefitting from the continuous development of receiver equipment and the appearance of additional GNSS. In addition to the classical differential processing approach, the Precise Point Positioning (PPP) method is able to derive station coordinates with the same accuracy as a baseline setup, when sufficient observation time is available. The basis for PPP is the improved quality of external products for the GNSS data processing, for example the orbit and especially the satellite clock products of the International GNSS Service (IGS) and its analysis centers.
The increased usage of GNSS comes along with higher demands on accuracy. Therefore, the modelling of important error sources in GNSS is continuously upgraded. Intensive research led to a refinement of both the functional and the stochastic model in GNSS data processing in order to enable the correction of specific error components, for example the antenna behaviour or the tropospheric delay. Despite of the improvements in GNSS modelling, multipath effects still remain as a main error source in highly precise GNSS positioning. Within this work, stacking techniques are used to correct for multipath effects and further site dependent errors, for example residual errors in the calibration values of the receiving GNSS antenna. The method developed in this work is based on zero difference PPP residuals, which are accumulated over defined azimuth-elevation cells and over a fixed period of time (here: 10 d) and introduced as correction (so-called stacking maps) in a second PPP processing run. The main purpose of this approach aims for the improvement of data, recorded on continuously operating reference stations.
Within this work, two scenarios for the implementation of the corrections were investigated in detail: the combination of the stacking maps joined with the calibration information of the GNSS receiving antennas and in contrast to this approach the separate modelling of both aspects in a separate file. In order to check the effectivity of this method, the results (e.g., coordinates, residuals) before and after the introduction of the stacking maps were intensively analyzed. Within the second scenario (introduction of the correction in a separate file), the behaviour of the stacking maps over time was investigated by the analysis of so-called sliding stacking maps. Sliding stacking maps are generated as follows: calculation of a first stacking map from the residuals for example for day of year (DoY) 121 to 130 and introduction as correction for DoY 131, the next stacking map is computed from the residuals for DoY 122 to 131 and introduced for DoY 132 and so on. Especially sites with poor data quality show a significant improvement of the residual values after the implementation of stacked information. Furthermore, observations remain in the used data set, whereas they were eliminated in the processing without the introduction of stacking maps.
In addition, the necessity of expensive, site-dependent individual antenna calibration was checked. The focus was on the compensating level of the stacking approach with respect to unmodelled antenna effects based on the replacement of individual receiving antenna calibrations by type mean values of the IGS in combination with stacking maps. Therefore, data of selected sites were processed using both the existing individual antenna calibration sets and the IGS type mean values. In a second processing run, the calibration sets were introduced taking the corresponding stacking information into account. Differences in the phase center variations of the antennas can be corrected by the stacking maps. Discrepancies due to differences in the phase center offsets remain in the estimated site coordinates.Numéro de notice : 14920 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Thèse étrangère Note de thèse : PhD : Géodésie : Karlsruhes Institut für Technologie : 2015 DOI : 10.5445/KSP/1000045959 En ligne : https://doi.org/10.5445/KSP/1000045959 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76931 Magic square of real spectral and time series analysis with an application to moving average processes / I. Krasbutter (2015)
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contenu dans The 1st International workshop on the quality of geodetic observation and monitoring systems (QuGOMS'11) / Hansjörg Kutterer (2015)
Titre : Magic square of real spectral and time series analysis with an application to moving average processes Type de document : Article/Communication Auteurs : I. Krasbutter, Auteur ; Boris Kargoll, Auteur ; W.D. Schuh, Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2015 Collection : International Association of Geodesy Symposia, ISSN 0939-9585 num. 140 Conférence : QuGOMS 2011, 1st IAG International workshop on the quality of geodetic observation and monitoring systems 13/04/2011 15/04/2011 Munich Allemagne Proceedings Springer Importance : pp 9 - 14 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques
[Termes IGN] analyse spectrale
[Termes IGN] moyenne mobile
[Termes IGN] processus stochastique
[Termes IGN] série temporelleRésumé : (auteur) This paper is concerned with the spectral analysis of stochastic processes that are realvalued, one-dimensional, discrete-time, covariance-stationary, and which have a representation as a moving average (MA) process. In particular, we will review the meaning and interrelations of four fundamental quantities in the time and frequency domain, (1) the stochastic process itself (which includes filtered stochastic processes), (2) its autocovariance function, (3) the spectral representation of the stochastic process, and (4) the corresponding spectral distribution function, or if it exists, the spectral density function. These quantities will be viewed as forming the corners of a square (the “magic square of spectral and time series analysis”) with various connecting lines, which represent certain mathematical operations between them. To demonstrate the evaluation of these operations, we will discuss the example of a q-th order MA process. Numéro de notice : C2011-031 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Communication DOI : 10.1007/978-3-319-10828-5_2 En ligne : https://doi.org/10.1007/978-3-319-10828-5_2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84802 Positioning 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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