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Bundle adjustment with and without damping / Niclas Börlin in Photogrammetric record, vol 28 n° 144 (December 2013 - February 2014)
[article]
Titre : Bundle adjustment with and without damping Type de document : Article/Communication Auteurs : Niclas Börlin, Auteur ; Pierre Grussenmeyer, Auteur Année de publication : 2013 Article en page(s) : pp 396 - 415 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie terrestre
[Termes IGN] algorithme de Gauss-Newton
[Termes IGN] atténuation
[Termes IGN] compensation par faisceaux
[Termes IGN] compensation par moindres carrés
[Termes IGN] photogrammétrie terrestreRésumé : (Auteur) The least squares adjustment (LSA) method is studied as an optimisation problem and shown to be equivalent to the undamped Gauss–Newton (GN) optimisation method. Three problem-independent damping modifications of the GN method are presented: the line search method of Armijo (GNA); the Levenberg–Marquardt algorithm (LM); and Levenberg–Marquardt with Powell dogleg (LMP). Furthermore, an additional problem-specific “veto” damping technique, based on the chirality condition, is suggested. In a perturbation study on a terrestrial bundle adjustment problem, the GNA and LMP methods with veto damping can increase the size of the pull-in region compared to the undamped method; the LM method showed less improvement. The results suggest that damped methods can, in many cases, provide a solution where undamped methods fail and should be available in any LSA software package. Matlab code for the algorithms discussed is available from the authors. Numéro de notice : A2013-630 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12037 Date de publication en ligne : 14/10/2013 En ligne : https://doi.org/10.1111/phor.12037 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32766
in Photogrammetric record > vol 28 n° 144 (December 2013 - February 2014) . - pp 396 - 415[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2013041 RAB Revue Centre de documentation En réserve L003 Disponible Singular spectrum analysis for modeling seasonal signals from GPS time series / Q. Chen in Journal of geodynamics, vol 72 (December 2013)
[article]
Titre : Singular spectrum analysis for modeling seasonal signals from GPS time series Type de document : Article/Communication Auteurs : Q. Chen, Auteur ; Tonie M. van Dam, Auteur ; Nico Sneeuw, Auteur ; Xavier Collilieux , Auteur ; M. Weigelt, Auteur ; Paul Rebischung , Auteur Année de publication : 2013 Article en page(s) : pp 25 - 35 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse spectrale
[Termes IGN] compensation par moindres carrés
[Termes IGN] filtre de Kalman
[Termes IGN] matrice de covariance
[Termes IGN] série temporelle
[Termes IGN] signal GPS
[Termes IGN] variation saisonnière
[Vedettes matières IGN] Traitement de données GNSSRésumé : (auteur) Seasonal signals in GPS time series are of great importance for understanding the evolution of regional mass fluctuations, i.e., ice, hydrology, and ocean mass. Conventionally these signals (quasi-annual and semi-annual signals) are modeled by least-squares fitting 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. Singular Spectrum Analysis (SSA) is a non-parametric method, which uses time domain data to extract information from short and noisy time series without a priori knowledge of the dynamics affecting the time series. A prominent benefit is that trends obtained in this way are not necessarily linear. Further, true oscillations can be amplitude and phase modulated. In this work, we will assess the value of SSA for extracting time-variable seasonal signals from GPS time series. We compare our SSA-based results to those obtained using (1) least-squares analysis and (2) Kalman filtering. Our results demonstrate that SSA is a viable and complementary tool for extracting modulated oscillations from GPS time series. Numéro de notice : A2013-512 Affiliation des auteurs : LASTIG LAREG+Ext (2012-mi2018) Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.jog.2013.05.005 Date de publication en ligne : 28/06/2013 En ligne : http://dx.doi.org/10.1016/j.jog.2013.05.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80232
in Journal of geodynamics > vol 72 (December 2013) . - pp 25 - 35[article]Markov land cover change modeling using pairs of time-series satellite images / Priyakant Sinha in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 11 (November 2013)
[article]
Titre : Markov land cover change modeling using pairs of time-series satellite images Type de document : Article/Communication Auteurs : Priyakant Sinha, Auteur ; Lalit Kumar, Auteur Année de publication : 2013 Article en page(s) : pp 1037 - 1051 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] automate cellulaire
[Termes IGN] chaîne de Markov
[Termes IGN] flore locale
[Termes IGN] image Landsat-MSS
[Termes IGN] image Landsat-TM
[Termes IGN] image multitemporelle
[Termes IGN] Nouvelle-Galles du Sud
[Termes IGN] occupation du sol
[Termes IGN] prédictionRésumé : (Auteur) Models of change processes created with the Markov chain model (MCM) can be used in the interpolation of temporal data and in short-term change projections. However, there are two major issues associated with the use of Markov models for land-cover change projections: the stationarity of change and the impact of neighboring cells on the change areas. This study addressed these two issues using an investigation of five time-series land-cover datasets generated between 1972 and 2009 for the Liverpool region of NSW, Australia. Four short- term transition matrices were computed, and the results were used to predict land-cover distributions for the near future. The issue of neighborhood effects was addressed by incorporating spatial components in a Cellular Automata (CA)-based MCM, and the results were compared with those derived from a normal MCM. Given the marginal improvements in the simulation achieved with CA-MCM rather than MCM, and because of the ability of CA-MCM to incorporate spatial variants, CA-MCM was determined to be the more suitable method for predicting land-cover changes for the year 2019. The land-cover projection indicated that future land-cover changes will likely continue to affect the natural vegetation, which will in turn likely decrease through the continued conversion of natural to agricultural lands over the years. Numéro de notice : A2013-598 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.11.1037 En ligne : https://doi.org/10.14358/PERS.79.11.1037 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32734
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 11 (November 2013) . - pp 1037 - 1051[article]Modeling of spatio-temporal dynamics of land use and land cover in a part of Brahmaputra River basin using Geoinformatic techniques / M. Sarabuddin Mondal in Geocarto international, vol 28 n° 7-8 (November - December 2013)
[article]
Titre : Modeling of spatio-temporal dynamics of land use and land cover in a part of Brahmaputra River basin using Geoinformatic techniques Type de document : Article/Communication Auteurs : M. Sarabuddin Mondal, Auteur ; Nayan Sharma, Auteur ; Martin Kappas, Auteur ; Pradeep Kumar Garg, Auteur Année de publication : 2013 Article en page(s) : pp 632 - 656 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] automate cellulaire
[Termes IGN] bassin hydrographique
[Termes IGN] Brahmapoutre (fleuve)
[Termes IGN] carte d'occupation du sol
[Termes IGN] champ aléatoire de Markov
[Termes IGN] classification dirigée
[Termes IGN] image multitemporelle
[Termes IGN] Inde
[Termes IGN] modèle conceptuel de données spatio-temporelles
[Termes IGN] occupation du sol
[Termes IGN] processus spatio-temorel
[Termes IGN] utilisation du solRésumé : (Auteur) An attempt has been made to explore and evaluate the Cellular Automata (CA) Markov modelling to monitor and predict the future land use and land cover (LULC) scenario in a part of Brahmaputra River basin using LULC maps derived from multi-temporal satellite images. CA Markov is a combined cellular automata/Markov chain/multi-criteria/multi-objective land allocation (MOLA) LULC prediction procedure that adds an element of spatial contiguity as well as knowledge base of the likely spatial distribution of transitions to Markov chain analysis. Evidence likelihood map was used for as knowledge base of the likely spatial procedure in CA Markov model. The predicting quantity and predicting location change have been analysed and statistically evaluated. The validation statistics indicated how well the comparison map agreed and disagreed with the reference map. Predicted results accuracy is slightly higher when compare to others studies of LULC change using CA Markov approaches. Numéro de notice : A2013-701 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2013.776641 Date de publication en ligne : 01/08/2013 En ligne : https://doi.org/10.1080/10106049.2013.776641 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32837
in Geocarto international > vol 28 n° 7-8 (November - December 2013) . - pp 632 - 656[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2013041 RAB Revue Centre de documentation En réserve L003 Disponible Single tree biomass modelling using airborne laser scanning / Ville Kankare in ISPRS Journal of photogrammetry and remote sensing, vol 85 (November 2013)
[article]
Titre : Single tree biomass modelling using airborne laser scanning Type de document : Article/Communication Auteurs : Ville Kankare, Auteur ; Minna Räty, Auteur ; Xiaowei Yu, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 66 - 73 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] biomasse (combustible)
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] estimation statistique
[Termes IGN] extraction automatique
[Termes IGN] Picea abies
[Termes IGN] Pinus sylvestris
[Termes IGN] semis de points
[Termes IGN] troncRésumé : (Auteur) Accurate forest biomass mapping methods would provide the means for e.g. detecting bioenergy potential, biofuel and forest-bound carbon. The demand for practical biomass mapping methods at all forest levels is growing worldwide, and viable options are being developed. Airborne laser scanning (ALS) is a promising forest biomass mapping technique, due to its capability of measuring the three-dimensional forest vegetation structure. The objective of the study was to develop new methods for tree-level biomass estimation using metrics derived from ALS point clouds and to compare the results with field references collected using destructive sampling and with existing biomass models. The study area was located in Evo, southern Finland. ALS data was collected in 2009 with pulse density equalling approximately 10 pulses/m2. Linear models were developed for the following tree biomass components: total, stem wood, living branch and total canopy biomass. ALS-derived geometric and statistical point metrics were used as explanatory variables when creating the models. The total and stem biomass root mean square error per cents equalled 26.3% and 28.4% for Scots pine (Pinus sylvestris L.), and 36.8% and 27.6% for Norway spruce (Picea abies (L.) H. Karst.), respectively. The results showed that higher estimation accuracy for all biomass components can be achieved with models created in this study compared to existing allometric biomass models when ALS-derived height and diameter were used as input parameters. Best results were achieved when adding field-measured diameter and height as inputs in the existing biomass models. The only exceptions to this were the canopy and living branch biomass estimations for spruce. The achieved results are encouraging for the use of ALS-derived metrics in biomass mapping and for further development of the models. Numéro de notice : A2013-607 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.08.008 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.08.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32743
in ISPRS Journal of photogrammetry and remote sensing > vol 85 (November 2013) . - pp 66 - 73[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013111 RAB Revue Centre de documentation En réserve L003 Disponible Consolidation de relevés laser d’intérieurs construits : pour une approche probabiliste initialisée par géolocalisation / Jean-François Hullo in XYZ, n° 136 (septembre - novembre 2013)PermalinkMapping social activities and concepts with social media (Twitter) and web search engines (Yahoo and Bing): a case study in 2012 US Presidential Election / Ming-Hsiang Tsou in Cartography and Geographic Information Science, vol 40 n° 4 (September 2013)PermalinkCalibration of the clock-phase biases of GNSS networks: the closure-ambiguity approach / A. Lannes in Journal of geodesy, vol 87 n° 8 (August 2013)PermalinkIntegrated denoising and unwrapping of INSAR phase based on Markov random fields / Runpu Chen in IEEE Transactions on geoscience and remote sensing, vol 51 n° 8 (August 2013)PermalinkMulti-feature based boresight self-calibration of a terrestrial mobile mapping system / Ting On Chan in ISPRS Journal of photogrammetry and remote sensing, vol 82 (August 2013)PermalinkAdjustment of geodetic measurements with mixed multiplicative and additive random errors / Peilang Xu in Journal of geodesy, vol 87 n° 7 (July 2013)PermalinkAn unsupervised classification approach for polarimetric SAR data based on the Chernoff distance for complex Wishart distribution / Mohammed Dabboor in IEEE Transactions on geoscience and remote sensing, vol 51 n° 7 Tome 2 (July 2013)PermalinkEffects of national forest inventory plot location error on forest carbon stock estimation using k-nearest neighbor algorithm / Jaehoon Jung in ISPRS Journal of photogrammetry and remote sensing, vol 81 (July 2013)PermalinkMapping GPS positional errors using spatial linear mixed models / A.F. Militino in Journal of geodesy, vol 87 n° 7 (July 2013)PermalinkLe projet EMERGE pour des tarifs cohérents de volumes et biomasses des essences forestières françaises métropolitaines / Christine Deleuze in Rendez-vous techniques, n° 39-40 (Hiver-printemps 2013)PermalinkAnalyse des déformations dans un réseau géodésique d'auscultation d'ouvrage d'art / A. Belhadj in Bulletin des sciences géographiques, n° 28 (juin 2013)PermalinkEstimation of glacier ice extinction using long-wavelength airborne Pol-InSAR / Jayanti J. Sharma in IEEE Transactions on geoscience and remote sensing, vol 51 n° 6 Tome 2 (June 2013)PermalinkImpact of seasonal station motions on VLBI UT1 intensives results / Zinovy Malkin in Journal of geodesy, vol 87 n° 6 (June 2013)PermalinkModeling ambiguity in census microdata allocations to improve demographic small area estimates / Stefan Leyk in Transactions in GIS, vol 17 n° 3 (June 2013)PermalinkWhen tree rings behave like foam : moderate historical decrease in the mean ring density of common beech paralleling a strong historical growth increase / Jean-Daniel Bontemps in Annals of Forest Science, Vol 70 n° 4 (June 2013)PermalinkA generative statistical approach to automatic 3D building roof reconstruction from laser scanning data / Hai Huang in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)PermalinkGeometric calibration of a terrestrial laser scanner with local additional parameters: An automatic strategy / D. Garcia-San-Miguel in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)PermalinkA laser scanning-based method for fast estimation of seismic-induced building deformations / Arianna Pesci in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)PermalinkStochastic modeling of high-stability ground clocks in GPS analysis / Kang Wang in Journal of geodesy, vol 87 n° 5 (May 2013)PermalinkAccroissement stochastique de la résolution spatiale des traceurs géophysiques de l'océan : application aux observations satellitaires de la température de surface de l'océan / Brahim Boussidi in Revue Française de Photogrammétrie et de Télédétection, n° 202 (Avril 2013)PermalinkGrowth-competition-based stem diameter and volume modeling for tree-level forest inventory using airborne LiDAR data / Chien-Shun Lo in IEEE Transactions on geoscience and remote sensing, vol 51 n° 4 Tome 2 (April 2013)PermalinkMultiple-spectral-band CRFs for denoising junk bands of hyperspectral imagery / Ping Zhong in IEEE Transactions on geoscience and remote sensing, vol 51 n° 4 Tome 2 (April 2013)PermalinkOn the formulation of the alternative hypothesis for geodetic outlier detection / Rüdiger Lehmann in Journal of geodesy, vol 87 n° 4 (April 2013)PermalinkStem volume and above-ground biomass estimation of individual pine trees from LiDAR data: contribution of full-waveform signals / Tristan Allouis in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol 6 n° 2 part 3 (April 2013)PermalinkAccuracy assessment of commercial self-calibrating bundle adjustment routines applied to archival aerial photography / Manuel Angel Aguilar in Photogrammetric record, vol 28 n° 141 (March - May 2013)PermalinkEstimation de l'imprécision des mesures géométriques de longueur et de surface / Jean-François Girres in Cartes & Géomatique, n° 215 (mars 2013)PermalinkGSICS inter-calibration of infrared channels of geostationary imagers using Metop-IASI / Tim J. Hewison in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 1 (March 2013)PermalinkInner constraints for planar features / Derek D. Lichti in Photogrammetric record, vol 28 n° 141 (March - May 2013)PermalinkOverview of Intercalibration / Gyanesh Chander in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 1 (March 2013)PermalinkSampling piecewise convex unmixing and endmember extraction / Alina Zare in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 2 (March 2013)PermalinkA GIS-based vehicle mobility estimator for operational contexts / A. Homann in Transactions in GIS, vol 17 n° 1 (February 2013)PermalinkA graph-based classification method for hyperspectral images / J. Bai in IEEE Transactions on geoscience and remote sensing, vol 51 n° 2 (February 2013)PermalinkSingle-receiver single-channel multi-frequency GNSS integrity: outliers, slips, and ionospheric disturbances / Peter J.G. Teunissen in Journal of geodesy, vol 87 n° 2 (February 2013)PermalinkTransaction-based intelligent transportation system (TBITS) using stochastic user utility model / J. Olusina in Transactions in GIS, vol 17 n° 1 (February 2013)PermalinkAnalyse fonctionnelle du futur système de repositionnement pour les fermetures de l'expérience ATLAS / Mehdi Daakir (2013)PermalinkPermalinkPermalinkPermalinkFirst, do no harm : Eliminating systematic error in analytical results of GIS applications / Nicholas Chrisman (2013)PermalinkGlobal height system unification with GOCE: a simulation study on the indirect bias term in the GBVP approach / C. Gerlach in Journal of geodesy, vol 87 n° 1 (January 2013)PermalinkA hybrid multiview stereo algorithm for modeling urban scenes / Florent Lafarge in IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, vol 35 n° 1 (January 2013)PermalinkPermalinkIntroduction au calcul des probabilités et à la statistique / Jean-François Delmas (2013)PermalinkLocal ties and co-location sites : Some considerations after the release of ITRF2 / Pierguido Sarti (2013)PermalinkManual of photogrammetry, sixth edition / J. Chris Mcglone (2013)PermalinkPermalinkPermalinkPermalinkThe height datum problem and the role of satellite gravity models / A. Gatti in Journal of geodesy, vol 87 n° 1 (January 2013)PermalinkThéorie des codes : compression, cryptage, correction / J. G. Dumas (2013)PermalinkTree species discrimination in tropical forests using airborne imaging spectroscopy / Jean-Baptiste Féret in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 1 (January 2013)PermalinkEvaluation of satellite-derived agro-climate variables in the Northern Great Plains of the United States / R. Lemons in Geocarto international, vol 27 n° 8 (December 2012)PermalinkDesigning a 3D model for the prediction of the top of formation in oil fields using geostatistical methods / M. Abdideh in Geocarto international, vol 27 n° 7 (November 2012)PermalinkEstimating the uncertainty of terrestrial laser scanner measurements / M. Polo in IEEE Transactions on geoscience and remote sensing, vol 50 n° 11 Tome 2 (November 2012)PermalinkOn the detection of systematic errors in terrestrial laser scanning data / J. Wang in Journal of applied geodesy, vol 6 n° 3-4 (November 2012)PermalinkRange camera self-calibration with scattering compensation / Derek D. Lichti in ISPRS Journal of photogrammetry and remote sensing, vol 74 (Novembrer 2012)PermalinkA fast and automatic sparse deconvolution in the presence of outliers / A. Gholami in IEEE Transactions on geoscience and remote sensing, vol 50 n° 10 Tome 2 (October 2012)PermalinkIntegration of remote sensing and GIS for evaluating soil erosion risk in northwestern Zhejiang, China / Jianqin Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 9 (September 2012)PermalinkLidar strip adjustment with automatically reconstructed roof shapes / M. Rentsch in Photogrammetric record, vol 27 n° 139 (September - November 2012)PermalinkRoot mean square error compared to, and contrasted with, standard deviation / Thomas H. Meyer in SaLIS Surveying and land information science, vol 72 n° 3 (September 2012)PermalinkThe influence of subpixel measurement on digital camera calibration / Mauricio Galo in Revue Française de Photogrammétrie et de Télédétection, n° 198 - 199 (Septembre 2012)PermalinkValidation du logiciel CoMet d'ajustement de mesures topographiques / Stéphane Durand in XYZ, n° 132 (septembre - novembre 2012)PermalinkCreating large-scale city models from 3D-Point clouds : a robust approach with hybrid representation / Florent Lafarge in International journal of computer vision, vol 99 n° 1 (August 2012)PermalinkDetermining irrigated areas and quantifying blue water use in europe using remote sensing Meteosat Second Generation (MSG) products and Global Land Data Assimilation System (GLDAS) data / Mireia Romaguera in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 8 (August 2012)PermalinkHyperspectral band clustering and band selection for urban land cover classification / H. Su in Geocarto international, vol 27 n° 5 (August 2012)PermalinkImproving the estimation of fractional-cycle biases for ambiguity resolution in precise point positioning / J. Geng in Journal of geodesy, vol 86 n° 8 (August 2012)PermalinkOptimal regularization for geopotential model GOCO02S by Monte Carlo methods and multi-scale representation of density anomalies / Karl Rudolf Koch in Journal of geodesy, vol 86 n° 8 (August 2012)PermalinkPoint-to-plane registration of terrestrial laser scans / D. Grant in ISPRS Journal of photogrammetry and remote sensing, vol 72 (August 2012)PermalinkSpatio-temporal MODIS EVI gap filling under cloud cover: An example in Scotland / L. Poggio in ISPRS Journal of photogrammetry and remote sensing, vol 72 (August 2012)PermalinkTotal least squares adjustment in partial errors-in-variables models: algorithm and statistical analysis / P. Xu in Journal of geodesy, vol 86 n° 8 (August 2012)PermalinkAn automated approach for updating land cover maps based on integrated change detection and classification methods / X. Chen in ISPRS Journal of photogrammetry and remote sensing, vol 71 (July 2012)PermalinkA fuzzy index for detecting spatiotemporal outliers / George Grekousis in Geoinformatica, vol 16 n° 3 (July 2012)PermalinkQualitative and quantitative description of multibeam echosounder systematic errors on rocky areas / Nathalie Debese in Marine geodesy, vol 35 n° 3 (July - September 2012)PermalinkThe potential of spectral mixture analysis to improve the estimation accuracy of tropical forest biomass / T.M. Basuki in Geocarto international, vol 27 n° 4 (July 2012)PermalinkVerification of 2D building outlines using oblique airborne images / A. Nyaruhuma in ISPRS Journal of photogrammetry and remote sensing, vol 71 (July 2012)PermalinkApproximation theory applied to DEM vertical accuracy assessment / X. Liu in Transactions in GIS, vol 16 n° 3 (June 2012)PermalinkOn the detectability of synthetic disturbances in FG5 absolute gravimetry data using lomb-scargle analysis / M. Orlob in Geomatica, vol 66 n° 2 (June 2012)PermalinkEvaluation of bayesian despeckling and texture extraction methods based on Gauss–Markov and auto-binomial gibbs random fields: Application to TerraSAR-X data / D. Espinoza Molina in IEEE Transactions on geoscience and remote sensing, vol 50 n° 5 Tome 2 (May 2012)PermalinkL’anticipation du changement en prospective et des changements spatiaux en géoprospective / Christine Voiron-Canicio in Espace géographique, vol 41 n° 2 (avril - juin 2012)PermalinkComparison of four line-based positional assessment methods by means of synthetic data / F. Arira-Lopez in Geoinformatica, vol 16 n° 2 (April 2012)PermalinkExtraction of building roof contours from LiDAR data using a Markov-random-field-based approach / E. Dos Santos Galvanin in IEEE Transactions on geoscience and remote sensing, vol 50 n° 3 (March 2012)PermalinkComparison of ray-tracing packages for troposphere delays / V. Nafisi in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)PermalinkMarkov Chain CFAR detection for polarimetric data using data fusion / C. Fei in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)PermalinkA simple and robust feature point matching algorithm based on restricted spatial order constraints for aerial image registration / Z. Liu in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)PermalinkPermalinkComparison of regional and global GNSS positions, velocities and residual time series / Juliette Legrand (2012)PermalinkPermalinkFlexible dataset combination and modelling by domain decomposition approaches / Isabelle Panet (2012)PermalinkGalileo, un système global de positionnement par satellites / Jonathan Chenal (2012)PermalinkPermalinkGNSS precise point positioning in regional reference frames using real-time broadcast corrections / Lennard Huisman in Journal of applied geodesy, vol 6 n° 1 (January 2012)PermalinkPermalinkPermalinkPermalinkMathématiques programme 2012 Term. [terminale] STI2D, Term. STL / Jean-Denis Astier (2012)Permalink