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Network-based estimation of time-dependent noise in GPS position time series / Ksenia Dimitrieva in Journal of geodesy, vol 89 n° 6 (June 2015)
[article]
Titre : Network-based estimation of time-dependent noise in GPS position time series Type de document : Article/Communication Auteurs : Ksenia Dimitrieva, Auteur ; Paul Segall, Auteur ; Charles DeMets, Auteur Année de publication : 2015 Article en page(s) : pp 591 - 606 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement du signal
[Termes IGN] bruit blanc
[Termes IGN] bruit rose
[Termes IGN] données GPS
[Termes IGN] estimation statistique
[Termes IGN] filtre de Kalman
[Termes IGN] incertitude des données
[Termes IGN] rapport signal sur bruit
[Termes IGN] réseau géodésique local
[Termes IGN] série temporelle
[Termes IGN] signal GPS
[Termes IGN] vitesseRésumé : (auteur) Some estimates of GPS velocity uncertainties are very low, Numéro de notice : A2015-351 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-015-0801-9 Date de publication en ligne : 24/03/2015 En ligne : https://doi.org/10.1007/s00190-015-0801-9 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76736
in Journal of geodesy > vol 89 n° 6 (June 2015) . - pp 591 - 606[article]Novel integration strategy for GNSS-aided inertial integrated navigation / Kun Qian in Geomatica, vol 69 n° 2 (June 2015)
[article]
Titre : Novel integration strategy for GNSS-aided inertial integrated navigation Type de document : Article/Communication Auteurs : Kun Qian, Auteur ; Jian-Guo Wang, Auteur ; Baoxin Hu, Auteur Année de publication : 2015 Article en page(s) : pp 217 - 230 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] couplage GNSS-INS
[Termes IGN] erreur systématique
[Termes IGN] filtre de Kalman
[Termes IGN] GNSS assisté pour la navigation
[Termes IGN] GPS-INS
[Termes IGN] intégration de données
[Termes IGN] navigation inertielleRésumé : (auteur) Le mécanisme d'intégration conventionnel du système de positionnement et de navigation inertiel intégré assisté par GNSS (Global Navigation Satellite Systems) se base principalement sur la transmission continue des extrants de la mécanisation de navigation, des modèles d'erreurs associés pour les paramètres de navigation, des biais des unités de mesure inertielle (UMI) et des mesures d'erreurs. Son importante dépendance aux caractéristiques d'erreur a priori des capteurs inertiels est affectée par les UMI peu coûteuses, p. ex., les UMI MEMS, en raison de leur performance faible et instable. Cet article est sur la piste d'une avancée majeure dans le cadre d'une stratégie d'intégration compacte et générale qui restructure le filtre Kalman en déployant un modèle systémique basé sur la cinématique tridimensionnelle d'un corps rigide et en effectuant des mises à jour des mesures à l'aide de toutes les données comprises dans les mesures de l'UMI. Ce nouveau filtre Kalman UMI/GNSS estime directement les paramètres de navigation plutôt que les états des erreurs. Il permet d'utiliser directement les données brutes fournies par l'UMI en tant que mesures pour mettre à jour le filtre Kalman au lieu d'utiliser le calcul de navigation inertiel libre dans le mécanisme d'intégration conventionnel. Cette manière de faire assure que tous les capteurs d'un système ne peuvent plus être distingués en tant que capteurs principal ou secondaire. La stratégie d'intégration proposée peut grandement augmenter la durabilité des systèmes de navigation peu coûteux dans les environnements GNSS où il y a peu de satellites ou ceux dépourvus de GNSS, comparativement au mécanisme conventionnel d'intégration de navigation inertielle basé sur les états d'erreurs. Les solutions post-traitées sont présentées pour démontrer le succès de la stratégie proposée de navigation intégrée à multiples capteurs. Numéro de notice : A2015-393 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.5623/cig2015-205 En ligne : https://doi.org/10.5623/cig2015-205 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76868
in Geomatica > vol 69 n° 2 (June 2015) . - pp 217 - 230[article]Object detection in optical remote sensing images based on weakly supervised learning and high-level feature learning / Junwei Han in IEEE Transactions on geoscience and remote sensing, vol 53 n° 6 (June 2015)
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Titre : Object detection in optical remote sensing images based on weakly supervised learning and high-level feature learning Type de document : Article/Communication Auteurs : Junwei Han, Auteur ; Dingwen Zhang, Auteur ; Gong Cheng, Auteur Année de publication : 2015 Article en page(s) : pp 3325 - 3337 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] apprentissage semi-dirigé
[Termes IGN] détection d'objet
[Termes IGN] estimation bayesienne
[Termes IGN] état de l'art
[Termes IGN] moteur d'inférenceRésumé : (Auteur) The abundant spatial and contextual information provided by the advanced remote sensing technology has facilitated subsequent automatic interpretation of the optical remote sensing images (RSIs). In this paper, a novel and effective geospatial object detection framework is proposed by combining the weakly supervised learning (WSL) and high-level feature learning. First, deep Boltzmann machine is adopted to infer the spatial and structural information encoded in the low-level and middle-level features to effectively describe objects in optical RSIs. Then, a novel WSL approach is presented to object detection where the training sets require only binary labels indicating whether an image contains the target object or not. Based on the learnt high-level features, it jointly integrates saliency, intraclass compactness, and interclass separability in a Bayesian framework to initialize a set of training examples from weakly labeled images and start iterative learning of the object detector. A novel evaluation criterion is also developed to detect model drift and cease the iterative learning. Comprehensive experiments on three optical RSI data sets have demonstrated the efficacy of the proposed approach in benchmarking with several state-of-the-art supervised-learning-based object detection approaches. Numéro de notice : A2015 - 283 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2014.2374218 Date de publication en ligne : 18/12/2014 En ligne : https://doi.org/10.1109/TGRS.2014.2374218 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76400
in IEEE Transactions on geoscience and remote sensing > vol 53 n° 6 (June 2015) . - pp 3325 - 3337[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2015061 SL Revue Centre de documentation Revues en salle Disponible Outlier Detection by means of Monte Carlo Estimation including resistant Scale Estimation / Christian Marx in Journal of applied geodesy, vol 9 n° 2 (June 2015)
[article]
Titre : Outlier Detection by means of Monte Carlo Estimation including resistant Scale Estimation Type de document : Article/Communication Auteurs : Christian Marx, Auteur Année de publication : 2015 Article en page(s) : pp 123 - 142 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes de référence et réseaux
[Termes IGN] compensation par moindres carrés
[Termes IGN] détection d'anomalie
[Termes IGN] estimation statistique
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] méthode robuste
[Termes IGN] valeur aberranteRésumé : (auteur) The identification of outliers in measurement data is hindered if they are present in leverage points as well as in rest of the data. A promising method for their identification is the Monte Carlo estimation (MCE), which is subject of the present investigation. In MCE the data are searched for data subsamples without leverage outliers and with few (or no) non-leverage outliers by a random generation of subsamples. The required number of subsamples by which several of such subsamples are generated with a given probability is derived. Each generated subsample is rated based on the residuals resulting from an adjustment. By means of a simulation it is shown that a least squares adjustment is suitable. For the rating of the subsamples, the sum of squared residuals is used as a measure of the fit. It is argued that this (unweighted) sum is also appropriate if data have unequal weights. An investigation of the robustness of a final Bayes estimation with the result of the Monte Carlo search as prior information reveals its inappropriateness. Furthermore, the case of an unknown variance factor is considered. A simulation for different scale estimators for the variance factor shows their impracticalness. A new resistant scale estimator is introduced which is based on a generalisation of the median absolut deviation. Taking into account the results of the investigations, a new procedure for MCE considering a scale estimation is proposed. Finally, this method is tested by simulation. MCE turns out to be more reliable in the identification of outliers than a conventional resistant estimation method. Numéro de notice : A2015-392 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1515/jag-2014-0029 En ligne : http://www.degruyter.com/view/j/jag.2014.9.issue-2/jag-2014-0029/jag-2014-0029.x [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76863
in Journal of applied geodesy > vol 9 n° 2 (June 2015) . - pp 123 - 142[article]Real-time GPS precise point positioning-based precipitable water vapor estimation for rainfall monitoring and forecasting / Junbo Shi in IEEE Transactions on geoscience and remote sensing, vol 53 n° 6 (June 2015)
[article]
Titre : Real-time GPS precise point positioning-based precipitable water vapor estimation for rainfall monitoring and forecasting Type de document : Article/Communication Auteurs : Junbo Shi, Auteur ; Chaoqian Xu, Auteur ; Jiming Guo, Auteur ; Yang Gao, Auteur Année de publication : 2015 Article en page(s) : pp 3452 - 3459 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] estimation statistique
[Termes IGN] positionnement cinématique en temps réel
[Termes IGN] positionnement par GPS
[Termes IGN] positionnement ponctuel précis
[Termes IGN] précipitation
[Termes IGN] prévision météorologique
[Termes IGN] surveillance météorologique
[Termes IGN] vapeur d'eauRésumé : (Auteur) GPS-based precipitable water vapor (PWV) estimation has been proven as a cost-effective approach for numerical weather prediction. Most previous efforts focus on the performance evaluation of post-processed GPS-derived PWV estimates using International GNSS Service (IGS) satellite products with at least 3-9-h latency. However, the suggested timeliness for meteorological nowcasting is 5-30 min. Therefore, the latency has limited the GPS-based PWV estimation in real-time meteorological nowcasting. The limitation has been overcome since April 2013 when IGS released real-time GPS orbit and clock products. This becomes the focus of this paper, which investigates real-time GPS precise point positioning (PPP)-based PWV estimation and its potential for rainfall monitoring and forecasting. This paper first evaluates the accuracy of IGS CLK90 real-time orbit and clock products. Root-mean-square (RMS) errors of Numéro de notice : A2015-279 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2014.2377041 Date de publication en ligne : 22/12/2014 En ligne : https://doi.org/10.1109/TGRS.2014.2377041 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76390
in IEEE Transactions on geoscience and remote sensing > vol 53 n° 6 (June 2015) . - pp 3452 - 3459[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2015061 SL Revue Centre de documentation Revues en salle Disponible Eliminating diffraction effects during multi-frequency correction in global navigation satellite systems / M.V. Tinin in Journal of geodesy, vol 89 n° 5 (May 2015)PermalinkMinimal detectable outliers as measures of reliability / Karl Rudolf Koch in Journal of geodesy, vol 89 n° 5 (May 2015)PermalinkA probabilistic eco-hydrological model to predict the effects of climate change on natural vegetation at a regional scale / Jan-Philip M. Witte in Landscape ecology, vol 30 n° 5 (May 2015)PermalinkSpectral–spatial classification for hyperspectral data using rotation forests with local feature extraction and markov random fields / Junshi Xia in IEEE Transactions on geoscience and remote sensing, vol 53 n° 5 (mai 2015)PermalinkCarrier-phase ambiguity resolution: Handling the biases for improved triple-frequency PPP convergence / Denis Laurichesse in GPS world, vol 26 n° 4 (April 2015)PermalinkRegional vertical total electron content (VTEC) modeling together with satellite and receiver differential code biases (DCBs) using semi-parametric multivariate adaptive regression B-splines (SP-BMARS) / Murat Durmaz in Journal of geodesy, vol 89 n° 4 (April 2015)PermalinkThe guided bilateral filter: When the joint/cross bilateral filter becomes robust / Laurent Caraffa in IEEE Transactions on image processing, vol 24 n° 4 (April 2015)PermalinkForest inventory attribute estimation using airborne laser scanning, aerial stereo imagery, radargrammetry and interferometry–Finnish experiences of the 3D techniques / Markus Holopainen in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 W4 (March 2015)PermalinkRoad marking extraction using a model&data-driven RJ-MCMC / Alexandre Hervieu in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 W4 (March 2015)PermalinkChamp de vitesse GPS du Nord-Est de la France : apport des stations permanentes pour une précision submillimétrique / Eric Henrion in XYZ, n° 142 (mars - mai 2015)PermalinkEvaluating the utility of the medium-spatial resolution Landsat 8 multispectral sensor in quantifying aboveground biomass in uMgeni catchment, South Africa / Timothy Dube in ISPRS Journal of photogrammetry and remote sensing, vol 101 (March 2015)PermalinkLevelling co-located GNSS and tide gauge stations using GNSS reflectometry / Alvaro Santamaria Gomez in Journal of geodesy, vol 89 n° 3 (March 2015)PermalinkPrecise point positioning using multi-constellation GNSS observations for kinematic applications / Mahmoud Abd-El-Rahman in Journal of applied geodesy, vol 9 n° 1 (March 2015)PermalinkReview and principles of PPP-RTK methods / Peter J.G. Teunissen in Journal of geodesy, vol 89 n° 3 (March 2015)PermalinkSequential estimation of surface water mass changes from daily satellite gravimetry data / Guillaume L. Ramilien in Journal of geodesy, vol 89 n° 3 (March 2015)PermalinkSupervised spectral–spatial hyperspectral image classification with weighted markov random fields / Le Sun in IEEE Transactions on geoscience and remote sensing, vol 53 n° 3 (March 2015)PermalinkJoint segmentation of multiple GPS coordinate series / Julien Gazeaux in Journal de la Société Française de Statistique, vol 156 n° 4 ([01/02/2015])PermalinkLiDAR strip adjustment using multifeatures matched with aerial images / Yongjun Zhang in IEEE Transactions on geoscience and remote sensing, vol 53 n° 2 (February 2015)PermalinkSpatio-temporal building population estimation for highly urbanized areas using GIS: spatio-temporal building population estimation / Konstantin Greger in Transactions in GIS, vol 19 n° 1 (February 2015)PermalinkGalileo orbit determination using combined GNSS and SLR observations / Stefan Hackel in GPS solutions, vol 19 n° 1 (January 2015)PermalinkGenerating statistically robust multipath stacking maps using congruent cells / Thomas Fuhrmann in GPS solutions, vol 19 n° 1 (January 2015)PermalinkAccounting for Galileo–GPS inter-system biases in precise satellite positioning / Jacek Paziewski in Journal of geodesy, vol 89 n° 1 (January 2015)PermalinkBayesian 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)PermalinkPermalinkPermalinkConception 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)PermalinkGPS for land surveyors / Jan Van Sickle (2015)PermalinkGPS satellite surveying / Alfred Leick (2015)PermalinkPermalinkImpact 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)PermalinkPermalinkA student's guide to Python for physical modeling / Jesse M. Kinder (2015)PermalinkThe 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)PermalinkA precise state transition model for aircraft navigation / Abhijit Sinha in Geomatica, vol 68 n° 4 (December 2014)PermalinkAssessment of crop foliar nitrogen using a novel dual-wavelength laser system and implications for conducting laser-based plant physiology / Jan U.H. Eitel in ISPRS Journal of photogrammetry and remote sensing, vol 97 (November 2014)PermalinkTiers of floods / Joe Peters in GEO: Geoconnexion international, vol 13 n° 10 (November 2014)PermalinkUse of high-resolution satellite data, GIS and NRCS-CN technique for the estimation of rainfall-induced run-off in small catchment of Jharkhand India / Anamika Shalini Tirkey in Geocarto international, vol 29 n° 7 - 8 (November - December 2014)PermalinkDeriving airborne laser scanning based computational canopy volume for forest biomass and allometry studies / Jari Vauhkonen in ISPRS Journal of photogrammetry and remote sensing, vol 96 (October 2014)PermalinkGeostatistical estimation of signal-to-noise ratios for spectral vegetation indices / L. Ji in ISPRS Journal of photogrammetry and remote sensing, vol 96 (October 2014)PermalinkTanDEM-X Pol-InSAR performance for forest height estimation / Florian Kugler in IEEE Transactions on geoscience and remote sensing, vol 52 n° 10 tome 1 (October 2014)PermalinkDetection of systematic displacements in spatial databases using linear elements / A. Mozas-Calvache in Cartography and Geographic Information Science, vol 41 n° 4 (September 2014)PermalinkImage matching using SIFT features and relaxation labeling technique—A constraint initializing method for dense stereo matching / Jyoti Joglekar in IEEE Transactions on geoscience and remote sensing, vol 52 n° 9 Tome 1 (September 2014)PermalinkLa mesure du niveau de la mer par bouées GPS : l'expérience multi-capteurs de l'île d'Aix / Gaël André in XYZ, n° 140 (septembre - novembre 2014)PermalinkSingle frequency GPS/Galileo precise point positioning using un-differenced and between-satellite single difference measurements / Akram Afifi in Geomatica, vol 68 n° 3 (September 2014)PermalinkSpatial analysis of coastal chalk cliff falls in upper Normandy (France). From Veules-les-Roses to Le Treport (2002-2009) / Pauline Letortu in Revue internationale de géomatique, vol 24 n° 3 (septembre - novembre 2014)PermalinkStudying commuting behaviours using collaborative visual analytics / Roger Beecham in Computers, Environment and Urban Systems, vol 47 (September 2014)PermalinkAn intelligent approach towards automatic shape modelling and object extraction from satellite images using cellular automata based algorithm / P. V. Arun in Geocarto international, vol 29 n° 5 - 6 (August - October 2014)PermalinkA class of cloud detection algorithms based on a MAP-MRF approach in space and time / Gemine Vivone in IEEE Transactions on geoscience and remote sensing, vol 52 n° 8 Tome 2 (August 2014)PermalinkEstimation harmonisée du volume de tige à différentes découpes / Christine Deleuze in Rendez-vous techniques, n° 44 (printemps 2014)PermalinkEstimer le volume total d’un arbre, quelles que soient l’essence, la taille, la sylviculture, la station / Christine Deleuze in Rendez-vous techniques, n° 44 (printemps 2014)PermalinkEvaluation de techniques d'interpolation spatiale de la piézométrie à l'aide de l'extension Geostatistical Analyst d'ArcGIS : Cas du système aquifère phréatique de Sfax (Tunisie) / Ibtissem Triki in Géomatique expert, n° 99 (01/07/2014)PermalinkPermalinkA high-quality, homogenized, global, long-term (1993–2008) DORIS precipitable water data set for climate monitoring and model verification / Olivier Bock in Journal of geophysical research : Atmospheres, vol 119 n° 12 (2014)PermalinkPermalinkCloud removal for remotely sensed images by similar pixel replacement guided with a spatio-temporal MRF model / Qing Cheng in ISPRS Journal of photogrammetry and remote sensing, vol 92 (June 2014)PermalinkSurcharges océaniques dans les signaux GPS : la quète de l'extrêmement petit / Christine Heimlich in XYZ, n° 139 (juin - août 2014)PermalinkBayesian approach to tree detection based on airborne laser scanning data / Timo Lähivaara in IEEE Transactions on geoscience and remote sensing, vol 52 n° 5 tome 1 (May 2014)PermalinkEarth orientation parameters estimated from VLBI during the CONT11 campaign / Tobias Nilsson in Journal of geodesy, vol 88 n° 5 (May 2014)PermalinkGeneralized integer aperture estimation for partial GNSS ambiguity fixing / Andreas Brack in Journal of geodesy, vol 88 n° 5 (May 2014)PermalinkLASSO-type estimators for semiparametric nonlinear mixed-effects models estimation / Ana Arribas-Gil in Statistics and Computing, vol 24 n° 3 (May 2014)PermalinkNew VLBI2010 scheduling strategies and implications on the terrestrial reference frames / Jing Sun in Journal of geodesy, vol 88 n° 5 (May 2014)PermalinkStepwise decomposition of full-waveform data based on Levenberg Marquardt / Pengcheng Li in Studies in Surveying and Mapping Science, vol 2 (2014)PermalinkHyperspectral-based adaptive matched filter detector error as a function of atmospheric water vapor estimation / Allan W. Yarbrough in IEEE Transactions on geoscience and remote sensing, vol 52 n° 4 (April 2014)PermalinkA probabilistic data model and algebra for location-based data warehouses and their implementation / Igor Timko in Geoinformatica, vol 18 n° 2 (April 2014)PermalinkAssessing changes in species distribution from sequential large-scale forest inventories / Laura Hernandez in Annals of Forest Science, vol 71 n° 2 (March 2014)PermalinkCaractérisation de la capacité de rétention de neige d’un plateau karstique. Essai méthodologique pour le plateau du Jabal Jraid (Liban) / Janine Somma in Revue internationale de géomatique, vol 24 n° 1 (mars – mai 2014)PermalinkComparaison des dendromètres Vertex III et Trupulse 200b pour la mesure de la hauteur totale des arbres / Sylvain Gaudin in Revue forestière française, vol 66 n° 2 (mars - avril 2014)PermalinkVegetation height estimation precision with compact PolInSAR and homogeneous random volume over ground model / Aurélien Arnaubec in IEEE Transactions on geoscience and remote sensing, vol 52 n° 3 (March 2014)PermalinkA fully constrained linear spectral unmixing algorithm based on distance geometry / Hanye Pu in IEEE Transactions on geoscience and remote sensing, vol 52 n° 2 (February 2014)PermalinkPermalinkPermalinkComplexité algorithmique / Sylvain Perifel (2014)PermalinkContextual classification of lidar data and building object detection in urban areas / Joachim Niemeyer in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)PermalinkPermalinkFusion of airborne laserscanning point clouds and images for supervised and unsupervised scene classification / Markus Gerke in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)PermalinkPermalinkLarge scale road network extraction in forested moutainous areas using airborne laser scanning data / António Ferraz (2014)PermalinkMethod comparisons of forest attribute estimations based on different remote sensing sources, including Lidar. The Vosges case study / Nicolas Py (2014)PermalinkProbabilités pour les sciences de l'ingénieur / Manuel Samuelides (2014)PermalinkPermalinkA stochastic method for the generation of optimized building-layouts respecting urban regulation / Shuang He (oct 2014)PermalinkUAV photogrammetry to monitor dykes-calibration and comparaison to terrestrial Lidar / Vincent Tournadre (2014)PermalinkAn entropy-based multispectral image classification algorithm / Di Long in IEEE Transactions on geoscience and remote sensing, vol 51 n° 12 (December 2013)Permalink