Descripteur
Documents disponibles dans cette catégorie (7987)
![](./images/expand_all.gif)
![](./images/collapse_all.gif)
Etendre la recherche sur niveau(x) vers le bas
Titre : Introduction to Statistics and Data Analysis : With Exercises, Solutions and Applications in R Type de document : Guide/Manuel Auteurs : Christian Heumann, Auteur ; Michael Schomaker, Auteur Editeur : Springer International Publishing Année de publication : 2016 Importance : 456 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-319-46162-5 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques
[Termes IGN] coefficient de Gini
[Termes IGN] courbe de Lorenz
[Termes IGN] estimateur
[Termes IGN] probabilités
[Termes IGN] R (langage)
[Termes IGN] régression linéaire
[Termes IGN] variable aléatoireRésumé : (éditeur) This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital. The text is primarily intended for undergraduate students in disciplines like business administration, the social sciences, medicine, politics, macroeconomics, etc. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R as well as supplementary material that will enable the reader to quickly adapt all methods to their own applications. Note de contenu : 1- Descriptive Statistics
2- Probability Calculus
3- Inductive StatisticsNuméro de notice : 25822 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE/MATHEMATIQUE Nature : Manuel En ligne : https://doi.org/10.1007/978-3-319-46162-5 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95097
Titre : Introduction to Time Series and Forecasting Type de document : Monographie Auteurs : Peter J. Brockwell, Auteur ; Richard A. Davis, Auteur Editeur : Springer International Publishing Année de publication : 2016 Importance : 425 p. Format : 21 x 28 cm ISBN/ISSN/EAN : 978-3-319-29854-2 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques
[Termes IGN] analyse spectrale
[Termes IGN] calcul matriciel
[Termes IGN] matrice de covariance
[Termes IGN] méthode du maximum de vraisemblance (estimation)
[Termes IGN] modèle de simulation
[Termes IGN] modèle stochastique
[Termes IGN] série temporelle
[Termes IGN] variable aléatoireRésumé : (éditeur) This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasting methods as applied to economics, engineering and the natural and social sciences. It assumes knowledge only of basic calculus, matrix algebra and elementary statistics. This third edition contains detailed instructions for the use of the professional version of the Windows-based computer package ITSM2000, now available as a free download from the Springer Extras website. The logic and tools of time series model-building are developed in detail. Numerous exercises are included and the software can be used to analyze and forecast data sets of the user's own choosing. The book can also be used in conjunction with other time series packages such as those included in R. The programs in ITSM2000 however are menu-driven and can be used with minimal investment of time in the computational details. The core of the book covers stationary processes, ARMA and ARIMA processes, multivariate time series and state-space models, with an optional chapter on spectral analysis. Many additional special topics are also covered. Note de contenu : 1- Introduction
2- Stationary Processes
3- ARMA Models
4- Spectral Analysis
5- Modeling and Forecasting with ARMA Processes
6- Nonstationary and Seasonal Time Series Models
7- Time Series Models for Financial Data
8- Multivariate Time Series
9- State-Space Models
10- Forecasting Techniques
11- Further TopicsNuméro de notice : 25750 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Monographie En ligne : https://link.springer.com/book/10.1007%2F978-3-319-29854-2 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94942 Investigating efficacy of robust M-estimation of deformation from observation differences / Krzysztof Nowel in Survey review, vol 48 n° 346 (January 2016)
![]()
[article]
Titre : Investigating efficacy of robust M-estimation of deformation from observation differences Type de document : Article/Communication Auteurs : Krzysztof Nowel, Auteur Année de publication : 2016 Article en page(s) : pp 21 - 30 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] analyse de données
[Termes IGN] déformation géométrique
[Termes IGN] estimation statistique
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] méthode des moindres carrés
[Termes IGN] modèle stochastique
[Termes IGN] test de performanceRésumé : (auteur) In deformation analysis of geodetic control networks, it is important to know whether the estimated displacement value of a given point is the effect of displacement or only the effect of random measurement errors. The F-test of statistical significance is used to answer this question. This test is applied both in conventional deformation analysis (CDA) based on least square (LS) estimation and in deformation analysis based on robust M-estimation. Unfortunately, the F-test is strongly flawed in the latter case. As a consequence, its results are significantly different here than assumed/expected. This paper analyses how flawed the F-test is and proposes a new solution. First, the algorithm of the global and local F-tests was derived. It was then demonstrated that for deformation analysis based on robust M-estimation, this algorithm has theoretical flaws. Next, it was shown how these problems can be solved numerically. The basis of the solutions proposed involves the use of stochastic simulations and, more specifically, the Monte Carlo (MC) method. Moreover, it was noted that other statistical test problems which also occur in deformation analysis based on robust M-estimation can be solved using present-day computers. The numerical approach can be a good support here in the selection of the proper significance level as well as in the correct performance of the test sensitivity analysis. All theoretical discussions were verified on an example simulated control network. Numéro de notice : A2016-044 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1080/00396265.2015.1097585 En ligne : https://doi.org/10.1080/00396265.2015.1097585 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79637
in Survey review > vol 48 n° 346 (January 2016) . - pp 21 - 30[article]Landmark based localization: LBA refinement using MCMC-optimized projections of RJMCMC-extracted road marks / Bahman Soheilian (2016)
![]()
Titre : Landmark based localization: LBA refinement using MCMC-optimized projections of RJMCMC-extracted road marks Type de document : Article/Communication Auteurs : Bahman Soheilian , Auteur ; Xiaozhi Qu
, Auteur ; Mathieu Brédif
, Auteur
Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2016 Conférence : IV 2016, IEEE Intelligent Vehicles Symposium 19/06/2016 22/06/2016 Göteborg Suède Proceedings IEEE Importance : pp 940 - 947 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] géolocalisation
[Termes IGN] méthode de Monte-Carlo par chaînes de Markov
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] scène 3D
[Termes IGN] signalisation routière
[Termes IGN] zone urbaineRésumé : (auteur) Precise localization in dense urban areas is a challenging task for both mobile mapping and driver assistance systems. This paper proposes a strategy to use road markings as localization landmarks for vision based systems. First step consists in reconstructing a map of road marks. A mobile mapping system equipped with precise georeferencing devices is applied to scan the scene in 3D and to generate an ortho-image of the road surface. A RJMCMC sampler that is coupled with a simulated annealing method is applied to detect occurrences of road marking templates instanced from an extensible database of road mark patterns. The detected objects are reconstructed in 3D using the height information obtained from 3D points. A calibrated camera and a low cost GPS receiver are embedded on a vehicle and used as localization devices. Local bundle adjustment (LBA) is applied to estimate the trajectory of the vehicle. In order to reduce the drift of the trajectory, images are matched with the reconstructed road marks frequently. The matching is initialized by the initial poses that are estimated by LBA and optimized by a MCMC algorithm. The matching provides ground control points that are integrated in the LBA in order to refine the pose parameters. The method is evaluated on a set of images acquired in a real urban area and is compared with a precise ground-truth. Numéro de notice : C2016-036 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/IVS.2016.7535501 Date de publication en ligne : 08/08/2016 En ligne : https://doi.org/10.1109/IVS.2016.7535501 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91797 Localisation à base d’amers visuels : Cartographie et mise en correspondance de marquages au sol et intégration dans LBA / Bahman Soheilian (2016)
![]()
![]()
Titre : Localisation à base d’amers visuels : Cartographie et mise en correspondance de marquages au sol et intégration dans LBA Type de document : Article/Communication Auteurs : Bahman Soheilian , Auteur ; Xiaozhi Qu
, Auteur ; Mathieu Brédif
, Auteur
Editeur : Association française pour la reconnaissance et l'interprétation des formes AFRIF Année de publication : 2016 Projets : TrafiPollu / Conférence : RFIA 2016, 20e conférence Reconnaissance des Formes et Intelligence Artificielle 27/06/2016 01/07/2016 Clermond-Ferrand France OA Proceedings Importance : 7 p. Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] algorithme RJMCMC
[Termes IGN] amer
[Termes IGN] appariement d'images
[Termes IGN] carte en 3D
[Termes IGN] compensation locale par faisceaux
[Termes IGN] détection d'objet
[Termes IGN] géopositionnement
[Termes IGN] méthode de Monte-Carlo par chaînes de Markov
[Termes IGN] point d'appui
[Termes IGN] reconstruction 3D
[Termes IGN] reconstruction d'objet
[Termes IGN] signalisation routière
[Termes IGN] zone urbaine denseRésumé : (auteur) La localisation précise en milieux urbains denses est un verrou important pour les systèmes de transport intelligent et cartographie mobile. Nous proposons une stratégie pour utiliser des marquages au sol comme des amers visuels pour la localisation basée vision. La première étape consiste à reconstruire une carte de marquages au sol en 3D. Un système de cartographie mobile est utilisé pour numériser l’environnement en 3D et générer une orthophoto de route. L’algorithme RJ-MCMC est utilisé pour détecter un ensemble extensible de modèles de marquage. Les objets détectés sont reconstruits en 3D en utilisant les informations de hauteur des points 3D. Une caméra optique calibrée et une antenne GPS de bas coût sont embarquées sur un véhicule pour la localisation. L’ajustement de faisceaux local (LBA) est appliqué pour estimer la trajectoire du véhicule. Pour réduire la dérive de localisation, les images acquises par la caméra sont fréquemment appariées sur les marquages au sol géoréférencés. Cet appariement est initialisé en utilisant la pose estimée (LBA) et optimisée par un algorithme MCMC. Cela produit des points d’appui qui seront intégrés dans le LBA. La méthode est évaluée sur des données réelles acquises en milieux urbains denses. Numéro de notice : C2016-019 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésNat DOI : sans En ligne : http://rfia2016.iut-auvergne.com/media/articles/JVI12.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84610 Documents numériques
en open access
Localisation à base d’amers visuelsAdobe Acrobat PDF PermalinkMise en place de procédures automatiques en vue d’accélérer la production des plans topographiques au sein de l’entreprise Techni Drone / Kévin Javerliat (2016)
PermalinkPermalinkModelling forest canopy trends with on-demand spatial simulation / Gordon M. Green in International journal of geographical information science IJGIS, vol 30 n° 1-2 (January - February 2016)
PermalinkPermalinkMultifractal analysis for multivariate data with application to remote sensing / Sébastien Combrexelle (2016)
PermalinkObject-oriented semantic labelling of spectral–spatial LiDAR point cloud for urban land cover classification and buildings detection / Anandakumar M. Ramiya in Geocarto international, vol 31 n° 1 - 2 (January - February 2016)
PermalinkOn estimation of the diagonal elements of a sparse precision matrix / Samuel Balmand in Electronic Journal of Statistics, vol 10 n° 1 (January 2016)
![]()
PermalinkPassive microwave remote sensing of soil moisture based on dynamic vegetation scattering properties for AMSR-E / Jinyang Du in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)
PermalinkPermalinkPointwise approach for texture analysis and characterization from very high resolution remote sensing images / Minh-Tan Pham (2016)
PermalinkPermalinkA probabilistic approach for InSAR time-series postprocessing / Ling Chang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)
PermalinkPermalinkPermalinkPermalinkPermalinkQualité des données géographiques : à propos de la propagation des incertitudes / Gilles Troispoux in Signature, n° 59 (janvier 2016)
PermalinkQuality evaluation of the weekly vertical loading effects induced from continental water storage models / Z. Li (2016)
PermalinkPermalinkRéduction du nombre des prédicats pour les approches de répartition des entrepôts de données / Mourad Ghorbel in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 21 n° 1 (janvier - février 2016)
PermalinkRemote Sensing Observations of Continental Surfaces, ch. 6. Airborne lidar data processing / Clément Mallet (2016)
PermalinkRemote Sensing Observations of Continental Surfaces, ch. 7. Digital Terrain Models derived from airborne lidar data / Clément Mallet (2016)
PermalinkSegmentation and localization of individual trees from MMS point cloud data acquired in urban areas / Martin Weinmann (2016)
![]()
PermalinkPermalinkPermalinkPermalinkSpatially constrained clustering of ecological units to facilitate the design of integrated water monitoring networks in the St. Lawrence Basin / M.D. Adams in International journal of geographical information science IJGIS, vol 30 n° 1-2 (January - February 2016)
PermalinkSPLZ: An efficient algorithm for single source shortest path problem using compression method / Jingwei Sun in Geoinformatica, vol 20 n° 1 (January - March 2016)
PermalinkPermalinkPermalinkSurface-based matching of 3D point clouds with variable coordinates in source and target system / Xuming Ge in ISPRS Journal of photogrammetry and remote sensing, vol 111 (January 2016)
PermalinkDes Systèmes d’Information Géographiques à une Information Spatiale Sémantisée. Focus sur la topologie des vecteurs / Nathalie Abadie (2016)
PermalinkThe ill wind that blew some good / Miroslav Holubec in GEO: Geoconnexion international, vol 15 n° 1 (January 2016)
PermalinkThe iQmulus urban showcase: automatic tree classification and identification in huge mobile mapping point clouds / Jan Böhm (2016)
![]()
PermalinkThe Minkowski approach for choosing the distance metric in geographically weighted regression / B. Lu in International journal of geographical information science IJGIS, vol 30 n° 1-2 (January - February 2016)
PermalinkPermalinkTotal-variation-regularized low-rank matrix factorization for hyperspectral image restoration / Wei He in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)
PermalinkPermalinkTowards process validation for complex transport models: A sensitivity analysis of a social network-enhanced activity-travel model / Nicole Ronald in Computers, Environment and Urban Systems, vol 55 (January 2016)
PermalinkTraitement du signal marégraphique par analyse harmonique pour la détermination d'une référence altimétrique pour l'Algérie / A. Rami in Bulletin des sciences géographiques, n° 30 (2015 - 2016)
PermalinkVegetation classification and biogeography of European floodplain forests and alder carrs / Jan Douda in Applied Vegetation Science, vol 19 n° 1 (January 2016)
PermalinkVers la prise en compte de la dépendance spatio temporelle des séries de position GNSS dans leur analyse / Clément Benoist (2016)
PermalinkA wildlife movement approach to optimally locate wildlife crossing structures / Rebecca W. Loraamm in International journal of geographical information science IJGIS, vol 30 n° 1-2 (January - February 2016)
PermalinkAutomated annual cropland mapping using knowledge-based temporal features / François Waldner in ISPRS Journal of photogrammetry and remote sensing, vol 110 (December 2015)
PermalinkAutomatically enhancing CityGML LOD2 models with a corresponding indoor geometry / Roeland Boeters in International journal of geographical information science IJGIS, vol 29 n° 12 (December 2015)
PermalinkA Bayesian network-based method to alleviate the ill-posed inverse problem: A case study on leaf area index and canopy water content retrieval / Xingwen Quan in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)
PermalinkCanopy density model: A new ALS-derived product to generate multilayer crown cover maps / António Ferraz in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)
PermalinkClassification of hyperspectral images by exploiting spectral–spatial information of superpixel via multiple kernels / Leyuan Fang in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)
PermalinkCreation of parametric BIM objects from point clouds using nurbs / Luigi Barazzetti in Photogrammetric record, vol 30 n° 152 (December 2015 - February 2016)
PermalinkDevelopment and operational analysis of an all-fiber coherent doppler Lidar system for wind sensing and aerosol profiling / Sameh Abdelazim in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)
PermalinkDevelopment, calibration and evaluation of a portable and direct georeferenced laser scanning system for kinematic 3D mapping / Erik Heinz in Journal of applied geodesy, vol 9 n° 4 (December 2015)
PermalinkError analysis of a new planar electrostatic gravity gradiometer for airborne surveys / Karim Douch in Journal of geodesy, vol 89 n° 12 (december 2015)
PermalinkA hybrid link-node approach for finding shortest paths in road networks with turn restrictions / Qingquan Li in Transactions in GIS, vol 19 n° 6 (December 2015)
PermalinkImpacts of species misidentification on species distribution modeling with presence-only data / Hugo Costa in ISPRS International journal of geo-information, vol 4 n°4 (December 2015)
PermalinkMeasuring urban volume: geospatial technique and application / Ronald C. Estoque in Tsukuba geoenvironmental sciences, vol 11 ([01/12/2015])
PermalinkMulti-GNSS as a combination of GPS, GLONASS and Beidou measurements carried out in real time / Zbigniew Siejka in Artificial satellites, vol 50 n° 4 (December 2015)
PermalinkOptimal spatial land-use allocation for limited development ecological zones based on the geographic information system and a genetic ant colony algorithm / Nan Mi in International journal of geographical information science IJGIS, vol 29 n° 12 (December 2015)
PermalinkRoad vectorisation from high-resolution imagery based on dynamic clustering using particle swarm optimisation / Fateme Ameri in Photogrammetric record, vol 30 n° 152 (December 2015 - February 2016)
PermalinkSemi-supervised SVM for individual tree crown species classification / Michele Dalponte in ISPRS Journal of photogrammetry and remote sensing, vol 110 (December 2015)
PermalinkSpatial analysis of geometric design consistency and road sight distance / Maria Castro in International journal of geographical information science IJGIS, vol 29 n° 12 (December 2015)
PermalinkPermalinkTwo-stage change detection for synthetic aperture radar / Miriam Cha in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)
PermalinkUnderstanding the combined impacts of aggregation and spatial non-stationarity: The case of migration-environment associations in rural South Africa / Galen McLaurin in Transactions in GIS, vol 19 n° 6 (December 2015)
PermalinkUrban classification by the fusion of thermal infrared hyperspectral and visible data / Jiayi Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 12 (December 2015)
PermalinkAn automated method to register airborne and terrestrial laser scanning point clouds / Bisheng Yang in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)
PermalinkCar navigation – computing routes that avoid complicated crossings / Jukka Mathias Krisp in International journal of geographical information science IJGIS, vol 29 n° 11 (November 2015)
PermalinkCombining leaf physiology, hyperspectral imaging and partial least squares-regression (PLS-R) for grapevine water status assessment / Tal Rapaport in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)
PermalinkDiscrimination of deciduous tree species from time series of unmanned aerial system imagery / Jonathan Lisein in Plos one, vol 10 n° 11 (November 2015)
PermalinkExploring the impact of dasymetric refinement on spatiotemporal small area estimates / Barbara P. Buttenfield in Cartography and Geographic Information Science, Vol 42 n° 5 (November 2015)
PermalinkExtendable linearised adjustment model for deformation analysis / Hiddo Velsink in Survey review, vol 47 n° 345 (November 2015)
PermalinkForest cover maps of China in 2010 from multiple approaches and data sources: PALSAR, Landsat, MODIS, FRA, and NFI / Yuanwei Qin in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)
PermalinkImproving soil moisture profile prediction with the particle Filter-Markov chain Monte Carlo method / Hongxiang Yan in IEEE Transactions on geoscience and remote sensing, vol 53 n° 11 (November 2015)
PermalinkModeling and simulation of glacier avalanche: a case study of Gayari sector glaciers Hazards assessment / Muhammad Ashan Mahboob in IEEE Transactions on geoscience and remote sensing, vol 53 n° 11 (November 2015)
PermalinkA moving weighted harmonic analysis method for reconstructing high-quality SPOT VEGETATION NDVI time-series data / Gang Yang in IEEE Transactions on geoscience and remote sensing, vol 53 n° 11 (November 2015)
PermalinkOn the deformation analysis of point fields / Hiddo Velsink in Journal of geodesy, vol 89 n° 11 (november 2015)
PermalinkParticle filter-based estimation of inter-frequency phase bias for real-time GLONASS integer ambiguity resolution / Yumiao Tian in Journal of geodesy, vol 89 n° 11 (november 2015)
PermalinkA phase space reconstruction based single channel ICA algorithm and its application in dam deformation analysis / W. Dai in Survey review, vol 47 n° 345 (November 2015)
PermalinkA robust mosaicking procedure for high spatial resolution remote sensing images / Xinghua Li in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)
PermalinkSuperpixel-based graphical model for remote sensing image mapping / Guangyun Zhang in IEEE Transactions on geoscience and remote sensing, vol 53 n° 11 (November 2015)
PermalinkA synergy method to improve ensemble weather predictions and differential SAR interferograms / Franz-Georg Ulmer in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)
PermalinkUsing integrated visualization techniques to investigate associations between cardiovascular health outcomes and residential migration in Auckland, New Zealand / Jinfeng Zhao in Cartography and Geographic Information Science, Vol 42 n° 5 (November 2015)
PermalinkWide-area mapping of small-scale features in agricultural landscapes using airborne remote sensing / Jerome O’Connell in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)
PermalinkAPFiLoc: An Infrastructure-Free Indoor Localization method fusing smartphone inertial sensors, landmarks and map information / Jianga Shang in Sensors, vol 15 n° 10 (October 2015)
PermalinkApplication of fuzzy combination operators to flood vulnerability assessments in Seoul, Korea / Moung-Jin Lee in Geocarto international, vol 30 n° 9 - 10 (October - November 2015)
PermalinkCarte de Kohonen et classification ascendante hiérarchique pour l’analyse de données géohistoriques / Ana-Maria Olteanu-Raimond in Revue internationale de géomatique, vol 25 n° 4 (octobre - décembre 2015)
PermalinkClassification of remotely sensed images using the geneSIS fuzzy segmentation algorithm / Stelios Mylonas in IEEE Transactions on geoscience and remote sensing, vol 53 n° 10 (October 2015)
PermalinkA concentration-based approach to data classification for choropleth mapping / Robert G. Cromley in International journal of geographical information science IJGIS, vol 29 n° 10 (October 2015)
PermalinkConstruction of 3D volumetric objects for a 3D cadastral system / Shen Ying in Transactions in GIS, vol 19 n° 5 (October 2015)
PermalinkEfficient superpixel-level multitask joint sparse representation for hyperspectral image classification / Jiayi Li in IEEE Transactions on geoscience and remote sensing, vol 53 n° 10 (October 2015)
PermalinkExtraction des zones cohérentes par l’analyse spatio-temporelle d’images de télédétection / Thomas Guyet in Revue internationale de géomatique, vol 25 n° 4 (octobre - décembre 2015)
PermalinkForest height estimation by means of Pol-InSAR data inversion : The role of the vertical wavenumber / Florian Kugler in IEEE Transactions on geoscience and remote sensing, vol 53 n° 10 (October 2015)
PermalinkFusion of waveform LiDAR data and hyperspectral imagery for land cover classification / Hongzhou Wang in ISPRS Journal of photogrammetry and remote sensing, vol 108 (October 2015)
PermalinkGeneration of navigation graphs for indoor space / L. Yang in International journal of geographical information science IJGIS, vol 29 n° 10 (October 2015)
PermalinkA geometric method for wood-leaf separation using terrestrial and simulated Lidar data / Shengli Tao in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 10 (October 2015)
Permalink