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Titre : Improvements to the Coordinate Time Series Analysis tools (CTSAna) Type de document : Mémoire Auteurs : Marie Barbier, Auteur Editeur : Champs-sur-Marne : Ecole nationale des sciences géographiques ENSG Année de publication : 2013 Importance : 87 p. Format : 21 x 30 cm Note générale : Bibliographie
Rapport de projet pluridisciplinaire, Cycle ING 2Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] données GNSS
[Termes IGN] estimation statistique
[Termes IGN] filtrage du bruit
[Termes IGN] modèle stochastique
[Termes IGN] série temporelle
[Termes IGN] signal GNSS
[Termes IGN] traitement de données GNSS
[Termes IGN] vitesseIndex. décimale : PROJET Mémoires : Rapports de projet - stage des ingénieurs de 2e année Résumé : (Auteur) Today about 12.000 Continuous GPS (CGPS) stations exist around the world, oldest dating from 1990's. Data accumulated by these CGPS are huge, it is unthinkable to treat them one by one and manually. So a collection of Linux scripts, Coordinate Time Series Tools (CTSAna), have been written to treat and analyse automatically time series using the CATS software [Williams, 2008]. Since the late 1990's CATS uses Maximum Likelihood Estimation (MLE) to determine two set of process parameters: deterministic and stochastic. Although CTSAna is fully compatible with CATS version 3.0, it is not with more recent CATS versions or its improved development version Cheetah [Bos et al., 2008]. The project aims at bringing CTSAna fully up-to-date with the recent CATS versions. For this, CTSAna will be able to run all versions of CATS using various a priori stochastic models and to extract the CATS results and automatically prepare analysis reports and summaries in order to investigate the consistency of the results from all CATS versions and Cheetah. Note de contenu : 1. Introduction
2. Background
2.1 CATS software
2.2 Presentation of CTSAna
2.3 Parameter model
3. Methodology
3.1 Configuration file
3.2 Analysis
3.3 Results extraction
3.4 Comparisons
4. Data sets
4.1 BSW PPP coordinate time series
4.2 ITRF2008 residual time series
5. Results
5.1 Velocities and uncertainties
5.2 Noise
5.3 Periodic signal
5.4 Offsets
5.5 Time
6. Conclusions
6.1 Technical conclusion
6.2 Conclusion about the internshipNuméro de notice : 11999 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Mémoire de projet pluridisciplinaire Organisme de stage : Université du Luxembourg Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=49823 Réservation
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contenu dans Reference frames for applications in geosciences, Proceedings of IAG Symposium REFAG 2010 / Zuheir Altamimi (2013)
Titre : Time-correlated GPS noise dependency on data time period Type de document : Article/Communication Auteurs : Alvaro Santamaria Gomez, Auteur ; Marie-Noëlle Bouin , Auteur ; Xavier Collilieux , Auteur ; Guy Wöppelmann , Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2013 Collection : International Association of Geodesy Symposia, ISSN 0939-9585 num. 138 Conférence : REFAG 2010, Reference Frames for Applications in Geosciences, IAG symposium 04/10/2010 08/10/2010 Champs-sur-Marne France Proceedings Springer Importance : pp 119 - 124 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] analyse diachronique
[Termes IGN] bruit (théorie du signal)
[Termes IGN] filtrage du bruit
[Termes IGN] positionnement par GPS
[Termes IGN] série temporelleRésumé : (Auteur) GPS position time series contain time-correlated noise. The estimated parameters using correlated time series data, as station velocities, are then more uncertain than if the time series data were uncorrelated. If the level of the time-correlated noise is not taken into account, the estimated formal uncertainties will be smaller. By estimating the type and amplitude of the noise content in time series, more realistic formal uncertainties can be assessed. However, time-correlated noise amplitude is not constant in long time series, but depends on the time period of the time series data. Older time series data contain larger time-correlated noise amplitudes than newer time series data. This way, shorter time series with older data time period exhibit time-correlated noise amplitudes similar to the whole time series. This paper focuses on the source of the time-correlated noise amplitude decrease from older to newer time series period data. The results of several tested sources are presented. Neither the increasing ambiguity fixation rate, nor the increasing number of tracking stations, nor the increasing number of observed satellites are likely the source of the noise reduction. The quality improvement of the equipment of both tracking network and constellation is likely the main source of the correlated noise evolution. Numéro de notice : C2010-015 Affiliation des auteurs : LAREG (1991-2011) Thématique : POSITIONNEMENT Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1007/978-3-642-32998-2_19 Date de publication en ligne : 27/11/2012 En ligne : http://dx.doi.org/10.1007/978-3-642-32998-2_19 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65070 Updating land-cover maps by classification of image time series : A novel change-detection-driven transfer learning approach / Begüm Demir in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 1 (January 2013)
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Titre : Updating land-cover maps by classification of image time series : A novel change-detection-driven transfer learning approach Type de document : Article/Communication Auteurs : Begüm Demir, Auteur ; Francesca Bovolo, Auteur ; Lorenzo Bruzzone, Auteur Année de publication : 2013 Article en page(s) : pp 300 - 312 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse diachronique
[Termes IGN] apprentissage dirigé
[Termes IGN] carte d'occupation du sol
[Termes IGN] classification automatique
[Termes IGN] détection de changement
[Termes IGN] image multitemporelle
[Termes IGN] mise à jour de base de données
[Termes IGN] série temporelleRésumé : (Auteur) This paper proposes a novel change-detection-driven transfer learning (TL) approach to update land-cover maps by classifying remote-sensing images acquired on the same area at different times (i.e., image time series). The proposed approach requires that a reliable training set is available only for one of the images (i.e., the source domain) in the time series whereas it is not for another image to be classified (i.e., the target domain). Unlike other literature TL methods, no additional assumptions on either the similarity between class distributions or the presence of the same set of land-cover classes in the two domains are required. The proposed method aims at defining a reliable training set for the target domain, taking advantage of the already available knowledge on the source domain. This is done by applying an unsupervised-change-detection method to target and source domains and transferring class labels of detected unchanged training samples from the source to the target domain to initialize the target-domain training set. The training set is then optimized by a properly defined novel active learning (AL) procedure. At the early iterations of AL, priority in labeling is given to samples detected as being changed, whereas in the remaining ones, the most informative samples are selected from changed and unchanged unlabeled samples. Finally, the target image is classified. Experimental results show that transferring the class labels from the source domain to the target domain provides a reliable initial training set and that the priority rule for AL results in a fast convergence to the desired accuracy with respect to Standard AL. Numéro de notice : A2013-015 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2195727 En ligne : https://doi.org/10.1109/TGRS.2012.2195727 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32153
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 1 Tome 1 (January 2013) . - pp 300 - 312[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013011A RAB Revue Centre de documentation En réserve L003 Disponible Automatic co-registration of satellite time series / M. Gianinetto in Photogrammetric record, vol 27 n° 140 (December 2012 - February 2013)
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Titre : Automatic co-registration of satellite time series Type de document : Article/Communication Auteurs : M. Gianinetto, Auteur Année de publication : 2012 Article en page(s) : pp 462 - 470 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] extraction automatique
[Termes IGN] image Terra-ASTER
[Termes IGN] point d'appui
[Termes IGN] série temporelle
[Termes IGN] superposition d'imagesRésumé : (Auteur) In modern remote sensing applications the use of automatic image processing codes is becoming increasingly common. When dealing with satellite time series or multi-source data, image co-registration is a time-consuming, but necessary, pre-processing step. This study shows how a medium resolution satellite multitemporal dataset can be effectively processed using automatic data processing. Results on real and transformed ASTER data showed that, without human interaction, the automatic ground control points extraction (AGE) technique, developed at Politecnico di Milano, is able to obtain accuracies generally sufficient for practical applications and similar to those reported in other studies. Numéro de notice : A2012-093 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2012.00689.x Date de publication en ligne : 09/08/2012 En ligne : https://doi.org/10.1111/j.1477-9730.2012.00689.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31541
in Photogrammetric record > vol 27 n° 140 (December 2012 - February 2013) . - pp 462 - 470[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2012041 RAB Revue Centre de documentation En réserve L003 Disponible Mitigating the effects of vertical land motion in tide gauge records using a state-of-the-art GPS velocity field / Alvaro Santamaria Gomez in Global and Planetary Change, vol 98 - 99 (December 2012)
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Titre : Mitigating the effects of vertical land motion in tide gauge records using a state-of-the-art GPS velocity field Type de document : Article/Communication Auteurs : Alvaro Santamaria Gomez, Auteur ; Médéric Gravelle, Auteur ; Xavier Collilieux , Auteur ; M. Guichard, Auteur ; Bélen Martín Míguez, Auteur ; Pascal Tiphaneau, Auteur ; Guy Wöppelmann , Auteur Année de publication : 2012 Article en page(s) : pp 6 - 17 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique
[Termes IGN] altimétrie satellitaire par radar
[Termes IGN] champ de vitesse
[Termes IGN] déformation verticale de la croute terrestre
[Termes IGN] données GPS
[Termes IGN] données marégraphiques
[Termes IGN] montée du niveau de la mer
[Termes IGN] niveau de la mer
[Termes IGN] série temporelleRésumé : (Auteur) This study aims to correct for long-term vertical land motions at tide gauges (TG) by estimating high-accurate GPS vertical velocities at co-located stations (GPS@TG), useful for long-term sea-level change studies and satellite altimeter drift monitoring. Global Positioning System (GPS) data reanalyses are mandatory when aiming at the highest consistency of the estimated products for the whole data period. The University of La Rochelle Consortium (ULR) has carried out several GPS data reanalysis campaigns with an increasing tracking network, an improving processing strategy and the best methodology. The geodetic results from the latest GPS velocity field estimated at ULR (named ULR5) are presented here. The velocity field includes 326 globally distributed GPS stations, from which 200 are GPS@TG (30% more than previous studies). The new GPS data processing strategy, the terrestrial frame definition and the velocity estimation procedures are described. The quality of the estimated vertical velocities is empirically assessed through internal and external velocity comparisons, including the analysis of the time-correlated noise content of the position time series, to be better than 0.6 mm/yr (2 sigma). The application of this velocity field is illustrated to appraise to what extent vertical land motions contaminate the estimates of satellite altimetry drifts. The impact on the altimeter-derived sea level trends was evaluated to be up to 0.6 mm/yr. Worldwide TGs were grouped into regions in order to explore long-term spatial sea level variability in the rates of sea level change. By taking into account the vertical land motion of the tide gauges, the dispersion of the observed sea level rates within each region was reduced by 60%. Long-term regional mean sea level variations up to 70% from the global mean were found. Numéro de notice : A2012-741 Affiliation des auteurs : LAREG+Ext (1991-2011) Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.gloplacha.2012.07.007 Date de publication en ligne : 26/07/2012 En ligne : https://doi.org/10.1016/j.gloplacha.2012.07.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91477
in Global and Planetary Change > vol 98 - 99 (December 2012) . - pp 6 - 17[article]Nontidal ocean loading: amplitudes and potential effects in GPS height time series / Tonie M. van Dam in Journal of geodesy, vol 86 n° 11 (November 2012)PermalinkIncreasing robustness of postclassification change detection using time series of land cover maps / Pieter Kempeneers in IEEE Transactions on geoscience and remote sensing, vol 50 n° 9 (October 2012)PermalinkMonitoring GOCE gradiometer calibration parameters using accelerometer and star sensor data: methodology and first results / C. Siemes in Journal of geodesy, vol 86 n° 8 (August 2012)PermalinkSatellite image time series analysis under time warping / F. Petitjean in IEEE Transactions on geoscience and remote sensing, vol 50 n° 8 (August 2012)PermalinkTemporal mixture analysis for estimating impervious surface area from multi-temporal MODIS NDVI data in Japan / F. Yang in ISPRS Journal of photogrammetry and remote sensing, vol 72 (August 2012)PermalinkApplication of time series Landsat images to examining land-use/land-cover dynamic change / Dong Lu in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 7 (July 2012)PermalinkApplication of time series Landsat images to examining land-use / land-cover dynamic change / Dong Lu in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 7 (July 2012)PermalinkError assessment of the initial near real-time METOP ASCAT surface soil moisture product / S. Hahn in IEEE Transactions on geoscience and remote sensing, vol 50 n° 7 Tome 1 (July 2012)PermalinkLong term land cover and seagrass mapping using Landsat and object-based image analysis from 1972 to 2010 in the coastal environment of South East Queensland, Australia / M. Lyons in ISPRS Journal of photogrammetry and remote sensing, vol 71 (July 2012)PermalinkAnalysis of 4 years (2002-2005) of laser data on Starlette, Stella and LAGEOS-1/2 satellites for stations coordinates and Earth orientations parameters (EOP) / Bachir Gourine in Bulletin des sciences géographiques, n° 27 (juin 2012)PermalinkComparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited training data points / Y. Shao in ISPRS Journal of photogrammetry and remote sensing, vol 70 (June 2012)PermalinkMitigation of atmospheric perturbations and solid Earth movements in a TerraSAR-X time-series / D. Small in Journal of geodesy, vol 86 n° 4 (April 2012)PermalinkPermalinkComparison of regional and global GNSS positions, velocities and residual time series / Juliette Legrand (2012)PermalinkA dense global velocity field based on GNSS observations: Preliminary Results / Carine Bruyninx (2012)PermalinkEntwicklung eines Kalman-Filters zur Bestimmung kurzzeitiger Variationen des Erdschwerefeldes aus daten der Satellitenmission GRACE / E. Kurtenbach (2012)PermalinkEtude des déformations crustales au Japon, avant le séisme de Tohoku-Oki, 2011, avec les observations continues par GPS du réseau GEONET / Emilie Klein (2012)PermalinkPermalinkPermalinkPermalink