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Termes IGN > mathématiques > statistique mathématique
statistique mathématique
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biométrie,
échantillonnage (statistique), probabilité, statistique. >>Terme(s) spécifique(s) : analyse de régression, analyse de variance, analyse des données, analyse multivariée, analyse séquentielle, calcul d'erreur, carré latin, corrélation (statistique), efficacité asymptotique (statistique), fonction pseudo-aléatoire, loi des grands nombres, modèle linéaire (statistique), modèle non linéaire (statistique), moindre carré, physique statistique, plan d'expérience, rang et sélection (statistique), rupture (statistique), SAS (logiciel), série chronologique, statistique non paramétrique, statistique robuste, tableau de contingence, test d'hypothèses (statistique), statistique stellaire. Equiv. LCSH : Mathematical statistics. Domaine(s) : 510. |
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Mapping dominant vegetation communities at Meili Snow Mountain, Yunnan Province, China using satellite imagery and plant community data / Z. Zhang in Geocarto international, vol 23 n° 2 (April - May 2008)
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Titre : Mapping dominant vegetation communities at Meili Snow Mountain, Yunnan Province, China using satellite imagery and plant community data Type de document : Article/Communication Auteurs : Z. Zhang, Auteur ; E. De Clercq, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 135 - 153 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse spatiale
[Termes IGN] carte de la végétation
[Termes IGN] classification bayesienne
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] flore locale
[Termes IGN] Kappa de Cohen
[Termes IGN] milieu naturel
[Termes IGN] montagne
[Termes IGN] occupation du sol
[Termes IGN] répartition géographique
[Termes IGN] Yunnan (Chine)Résumé : (Auteur) Mapping dominant vegetation communities is important work for vegetation scientists. It is very difficult to map dominant vegetation communities using multispectral remote sensing data only, especially in mountain areas. However plant community data contain useful information about the relationships between plant communities and their environment. In this paper, plant community data are linked with remote sensing to map vegetation communities. The Bayesian soft classifier was used to produce posterior probability images for each class. These images were used to calculate the prior probabilities. One hundred and eighty plant plots at Meili Snow Mountain, Yunnan Province, China were used to characterize the vegetation distribution for each class along altitude gradients. Then, the frequencies were used to modify the prior probabilities of each class. After stratification in a vegetation part and a non-vegetation part, a maximum-likelihood classification with equal prior probabilities was conducted, yielding an overall accuracy of 82.1% and a kappa accuracy of 0.797. Maximum-likelihood classification with modified prior probabilities in the vegetation part, conducted with a conventional maximum-likelihood classification for the non-vegetation part, yielded an overall accuracy of 87.7%, and a kappa accuracy of 0.861. Copyright Taylor & Francis Numéro de notice : A2008-078 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040701337410 En ligne : https://doi.org/10.1080/10106040701337410 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29073
in Geocarto international > vol 23 n° 2 (April - May 2008) . - pp 135 - 153[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-08021 RAB Revue Centre de documentation En réserve L003 Disponible Per-pixel classification of high spatial resolution satellite imagery for urban land-cover mapping / D. Hester in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 4 (April 2008)
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Titre : Per-pixel classification of high spatial resolution satellite imagery for urban land-cover mapping Type de document : Article/Communication Auteurs : D. Hester, Auteur ; H. Cakir, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 463 - 471 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Caroline du Nord (Etats-Unis)
[Termes IGN] carte d'occupation du sol
[Termes IGN] cartographie urbaine
[Termes IGN] classification pixellaire
[Termes IGN] erreur de classification
[Termes IGN] image à très haute résolution
[Termes IGN] image Quickbird
[Termes IGN] précision géométrique (imagerie)Résumé : (Auteur) Commercial high spatial resolution satellite data now provide a synoptic and consistent source of digital imagery with detail comparable to that of aerial photography. In the work described here, per-pixel classification, image fusion, and GIS-based map refinement techniques were tailored to pan-sharpened 0.61 m QuickBird imagery to develop a six-category urban land-cover map with 89.3 percent overall accuracy (k = 0.87). The study area was a rapidly developing 71.5 km2 part of suburban Raleigh, North Carolina, U.S.A., within the Neuse River basin. “Edge pixels” were a source of classification error as was spectral overlap between bare soil and impervious surfaces and among vegetated cover types. Shadows were not a significant source of classification error. These findings demonstrate that conventional spectral-based classification methods can be used to generate highly accurate maps of urban landscapes using high spatial resolution imagery. Copyright ASPRS Numéro de notice : A2008-123 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.4.463 En ligne : https://doi.org/10.14358/PERS.74.4.463 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29118
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 4 (April 2008) . - pp 463 - 471[article]Population-density estimation using regression and area-to-point residual kriging / X. Liu in International journal of geographical information science IJGIS, vol 22 n° 4-5 (april 2008)
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Titre : Population-density estimation using regression and area-to-point residual kriging Type de document : Article/Communication Auteurs : X. Liu, Auteur ; P. Kyriakidis, Auteur ; Michael F. Goodchild, Auteur Année de publication : 2008 Article en page(s) : pp 431 - 447 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] densité de population
[Termes IGN] figuration de la densité
[Termes IGN] interpolation spatiale
[Termes IGN] krigeage
[Termes IGN] régressionRésumé : (Auteur) Census population data are associated with several analytical and cartographic problems. Regression models using remote-sensing covariates have been examined to estimate urban population density, but the performance may not be satisfactory. This paper describes a kriging-based areal interpolation method, namely area-to-point residual kriging, which can be used to disaggregate the residuals remaining from regression. Compared with conventional cokriging, the area-to-point residual kriging is much simpler in that only a semivariogram model for the point residuals is required, as opposed to a set of auto- and cross-semivariogram models involving the dependent variable and all the covariates. In addition, area-to-point residual kriging explicitly accounts for any scale differences between source data and target values. The method is illustrated by disaggregating population from census units to the land-use zones within them. Comparative results for regression with and without area-to-point residual kriging show that area-to-point residual kriging can substantially improve interpolation accuracy. Copyright Taylor & Francis Numéro de notice : A2008-148 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810701492225 En ligne : https://doi.org/10.1080/13658810701492225 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29143
in International journal of geographical information science IJGIS > vol 22 n° 4-5 (april 2008) . - pp 431 - 447[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-08031 RAB Revue Centre de documentation En réserve L003 Disponible 079-08032 RAB Revue Centre de documentation En réserve L003 Disponible Seeking the Pareto front for multiobjective spatial optimization problems / B. Huang in International journal of geographical information science IJGIS, vol 22 n° 4-5 (april 2008)
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Titre : Seeking the Pareto front for multiobjective spatial optimization problems Type de document : Article/Communication Auteurs : B. Huang, Auteur ; P. Fery, Auteur ; L. Xue, Auteur ; Y. Wang, Auteur Année de publication : 2008 Article en page(s) : pp 507 - 526 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] approximation
[Termes IGN] erreur systématique
[Termes IGN] optimisation (mathématiques)
[Termes IGN] réseau routier
[Termes IGN] Singapour
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Spatial optimization problems, such as route selection, usually involve multiple, conflicting objectives relevant to locations. An ideal approach to solving such multiobjective optimization problems (MOPs) is to find an evenly distributed set of Pareto-optimal alternatives, which is capable of representing the possible trade-off among different objectives. However, these MOPs are commonly solved by combining the multiple objectives into a parametric scalar objective, in the form of a weighted sum function. It has been found that this method fails to produce a set of well spread solutions by disregarding the concave part of the Pareto front. In order to overcome this ill-behaved nature, a novel adaptive approach has been proposed in this paper. This approach seeks to provide an unbiased approximation of the Pareto front by tuning the search direction in the objective space according to the largest unexplored region until a set of well-distributed solutions is reached. To validate the proposed methodology, a case study on multiobjective routing has been performed using the Singapore road network with the support of GIS. The experimental results confirm the effectiveness of the approach. Copyright Taylor & Francis Numéro de notice : A2008-152 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810701492365 En ligne : https://doi.org/10.1080/13658810701492365 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29147
in International journal of geographical information science IJGIS > vol 22 n° 4-5 (april 2008) . - pp 507 - 526[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-08031 RAB Revue Centre de documentation En réserve L003 Disponible 079-08032 RAB Revue Centre de documentation En réserve L003 Disponible Sensitivity analysis of spatially aggregated responses: a gradient-based method / F. Pantus in International journal of geographical information science IJGIS, vol 22 n° 4-5 (april 2008)
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Titre : Sensitivity analysis of spatially aggregated responses: a gradient-based method Type de document : Article/Communication Auteurs : F. Pantus, Auteur ; N. Ellis, Auteur ; H. Possingham, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 575 - 599 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] agrégation spatiale
[Termes IGN] algorithme du gradient
[Termes IGN] analyse de sensibilité
[Termes IGN] données socio-économiques
[Termes IGN] espace vectoriel
[Termes IGN] noeud
[Termes IGN] polygoneRésumé : (Auteur) We often need to report on environmental, economic and social indicators, and properties at aggregated spatial scales, e.g. average income per suburb. To do this, we invariably create reporting polygons that are somewhat arbitrary. The question arises: how much does this arbitrary subdivision of space affect the outcome? In this paper, we develop a new, gradient-based framework for carrying out a rigorous analysis of the sensitivity of integrating functions to quantitative changes in their spatial configuration. This approach is applied to both analytical and empirical models, and it allows the reporting of a hierarchy of sensitivity measures (from global to local). We found that the concepts of a vector space representing the spatial configurations and the response (hyper-)surface on which gradients indicate the sensitivities to be helpful in developing the sensitivity analytical framework of spatial configurations in different dimensions. This approach works well with both analytical and empirical integrating functions. This approach resulted in a clear ranking of the sensitivities of the responses to changes in the reporting regions in an existing environmental reporting application. The approach also allowed us to find which vertices, and the directions of change of those vertices, influenced the outcome most. The application of the spatial framework allows the results to be reported in a hierarchical way, from the sensitivities of an integrative response to changes in a whole reserve/reporting system, down to the sensitivity along each of the dimensions of the vertices in the spatial configuration. The results of the spatial sensitivity framework that we developed in this paper can be readily visualized by plotting the sensitivities as vectors on geographic maps. This simplifies the presentation and facilitates the uptake of the results in the situations where the spatial configurations are complicated. Numéro de notice : A2008-155 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810701587784 En ligne : https://doi.org/10.1080/13658810701587784 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29150
in International journal of geographical information science IJGIS > vol 22 n° 4-5 (april 2008) . - pp 575 - 599[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-08031 RAB Revue Centre de documentation En réserve L003 Disponible 079-08032 RAB Revue Centre de documentation En réserve L003 Disponible The early explanatory power of NDVI in crop yield modelling / L. Wall in International Journal of Remote Sensing IJRS, vol 29 n° 7 (April 2008)
PermalinkVers la prochaine génération de bases de données et de cartes / Françoise de Blomac in SIG la lettre, n° 96 (avril 2008)
PermalinkApplications of ICA for the enhancement and classification of polarimetric SAR images / H. Wang in International Journal of Remote Sensing IJRS, vol 29 n° 6 (March 2008)
PermalinkSpecies identification of individual trees by combining high resolution LiDAR data with multi-spectral images / Johan Holmgren in International Journal of Remote Sensing IJRS, vol 29 n° 5 (March 2008)
PermalinkAnalyse spatio-temporelle de l'occupation du sol dans le parc national de Waza entre 1986 et 2001 (Nord Cameroun) / G. Wafo Tabopda in Revue Française de Photogrammétrie et de Télédétection, n° 189 (Mars 2008)
PermalinkClassification non supervisée d'image RSO à l'aide d'extremums locaux d'histogramme : applications à la cartographie de la mangrove littorale camerounaise / J. Fotsing in Revue Française de Photogrammétrie et de Télédétection, n° 189 (Mars 2008)
PermalinkEstimation automatique de l'orientation relative : une approche directe basée sur la résolution de systèmes polynomiaux multivariables / Mahzad Kalantari in Revue Française de Photogrammétrie et de Télédétection, n° 189 (Mars 2008)
PermalinkFast error analysis of continuous GPS observations / M. Bos in Journal of geodesy, vol 82 n° 3 (March 2008)
PermalinkLand-cover classification using ASTER: multi-band combinations based on wavelet fusion and SOM neural network / H. Bagan in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 3 (March 2008)
PermalinkLarge-scale errors in ERS altimeter data / J.Y. Cherniawsky in Marine geodesy, vol 31 n° 1 (March - May 2008)
PermalinkA method to test differences between additional parameter sets with a case study in terrestrial laser scanner self-calibration stability analysis / Derek D. Lichti in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 2 (March - April 2008)
PermalinkModélisation de la végétation en milieu urbain : détection et caractérisation à partir d'images aériennes haute résolution couleur et infra-rouge / Corina Iovan in Revue Française de Photogrammétrie et de Télédétection, n° 189 (Mars 2008)
PermalinkA robust biased estimator for exterior orientation of linear array pushbroom satellite imagery / Y. Zhang in Geomatica, vol 62 n° 1 (March 2008)
PermalinkTechniques for computing fitness of use (FoU) for time series datasets with applications in the geospatial domain / L. Fu in Geoinformatica, vol 12 n° 1 (March - May 2008)
PermalinkTexture feature fusion with neighborhood oscillating tabu search for high resolution image classification / L. Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 3 (March 2008)
PermalinkAdjusting for long term anomalous trends in NOAA's Global Vegetation Index datasets / L. Jiang in IEEE Transactions on geoscience and remote sensing, vol 46 n° 2 (February 2008)
PermalinkCartography of high mountain areas : testing of a new digital cliff drawing method / Loïc Gondol (01/02/2008)
PermalinkComparison and improvement of wavelet-based image fusion / G. Hong in International Journal of Remote Sensing IJRS, vol 29 n°3-4 (February 2008)
PermalinkExtracting urban road networks from high-resolution true orthoimage and Lidar / J. Youn in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 2 (February 2008)
PermalinkIdentifying factors of geographic event conceptualisation / Alexander Klippel in International journal of geographical information science IJGIS, vol 22 n° 1-2 (february 2008)
PermalinkImproved topographic correction of forest image data using a 3D canopy reflectance model in multiple forward mode / S.A. Soenen in International Journal of Remote Sensing IJRS, vol 29 n°3-4 (February 2008)
PermalinkMultisource classification using Support Vector Machines: an empirical comparison with Decision Tree and Neural Network classifiers / P. Watanachaturaporn in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 2 (February 2008)
PermalinkMultispectral land use classification using neural networks and support vector machines: one or the other, or both? / B. Dixon in International Journal of Remote Sensing IJRS, vol 29 n°3-4 (February 2008)
PermalinkPhase unwrapping for SAR interferometry based on an ant colony optimization algorithm / Z.Q. Wei in International Journal of Remote Sensing IJRS, vol 29 n°3-4 (February 2008)
PermalinkThe application of artificial neural networks to the analysis of remotely sensed data / J.F. Mas in International Journal of Remote Sensing IJRS, vol 29 n°3-4 (February 2008)
PermalinkLa géomatique au service de la caractérisation automatique des réseaux hydrographiques / Adrien Paget in Physio-Géo, vol 2 (janvier 2008)
PermalinkPermalinkPermalinkPermalinkAnalyse des séries temporelles de positions des stations de géodésie spatiale : application au repère international de référence terrestre (ITRF) / Xavier Collilieux (2008)
PermalinkAnalyse et traitement d'ondes Lidar pour la cartographie et la reconnaissance de formes : application au milieu urbain / Clément Mallet (2008)
PermalinkPermalinkAnomalous harmonics in the spectra of GPS position estimates / Jim Ray in GPS solutions, vol 12 n° 1 (January 20008)
PermalinkApplications of remote sensing and Geographic Information Systems to assess ferrous minerals and iron oxide of Tokat province in Turkey / H.M. Dogan in International Journal of Remote Sensing IJRS, vol 29 n°1-2 (January 2008)
PermalinkPermalinkPermalinkPermalinkCartographie thématique, 3. Méthodes quantitatives et transformations attributaires / Colette Cauvin (2008)
PermalinkPermalinkCartographies multi-échelles et multi-temporelles sur l'ile de la grande Comore / Simon Gabolde (2008)
PermalinkCSTST 2008, the 5th International conference on soft computing as transdisciplinary science and technology, October 28th - October 31st 2008, University of Cergy-Pontoise, France / Richard Chbeir (2008)
PermalinkPermalinkDetection, segmentation and characterisation of vegetation in high-resolution aerial images for 3D city modelling / Corina Iovan (2008)
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PermalinkPermalinkPermalinkPermalinkPermalinkEtude sur la restitution fine de l'axe de visée d'un instrument optronique embarqué / Adeline Coupé (2008)
PermalinkPermalinkEvaluation de la classification WISHART sur des données radar polarimétriques et application au Gabon / G. Roussel (2008)
PermalinkExtraction et Gestion des Connaissances, EGC 2008, 8es journées francophones, 29 janvier 2008, Sophia Antipolis, France / Marie-Aude Aufaure Portier (2008)
PermalinkFusion de connaissances imparfaites pour l'appariement de données géographiques / Ana-Maria Olteanu-Raimond (2008)
PermalinkGeostatistical solutions for super-resolution land cover mapping / A. Boucher in IEEE Transactions on geoscience and remote sensing, vol 46 n° 1 (January 2008)
PermalinkGlobal elevation ancillary data for land-use classification using granular neural networks / D. Stathakis in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 1 (January 2008)
PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkMutual validation of satellite-geodetic techniques and its impact on GNSS orbit modeling / Claudia Flohrer (2008)
PermalinkA new computationally efficient stochastic approach for building reconstruction from satellite data / Florent Lafarge (2008)
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PermalinkProceedings of the 15th international workshop on laser ranging, Canberra, Australia, 15 - 20 October 2006 / J. Luck (2008)
PermalinkQuality aspects in spatial data mining, ch. 5. A multicriteria fusion approach for geographical data matching / Ana-Maria Olteanu-Raimond (2008)
PermalinkSIFT (Scale Invariant Feature Transform) : Un outil pour la mise en correspondance d’images / Arnaud Le Bris (2008)
PermalinkPermalinkA stochastic framework for the identification of building rooftops using a single remote sensing image / A. Katartzis in IEEE Transactions on geoscience and remote sensing, vol 46 n° 1 (January 2008)
PermalinkSupporting the process of exploring and interpreting space-time multivariate patterns: the visual inquiry toolkit / J. Chen in Cartography and Geographic Information Science, vol 35 n° 1 (January 2008)
PermalinkLa télédétection au service de la forêt / Françoise de Blomac in SIG la lettre, n° 93 (janvier 2008)
PermalinkTerrain modeling from lidar data: Hierarchical K-means filtering and Markovian regularization / Nesrine Chehata (2008)
PermalinkPermalinkUtilisation de la télédétection optique et radar pour étudier la déforestation en Afrique centrale / Quentin Page (2008)
PermalinkVisual analysis of network traffic – interactive monitoring, detection, and interpretation of security threats / Florian Mansmann (ca 2008)
PermalinkAppariement de données géographiques utilisant la théorie des croyances / Ana-Maria Raimond in Le monde des cartes, n° 194 (décembre 2007)
PermalinkApport de la télédétection à la cartographie des sols affectés par la salinisation : cas de la Nefzaoua, Tunisie / Ouerchefani Dalel in Revue Française de Photogrammétrie et de Télédétection, n° 187 -188 (Décembre 2007)
PermalinkBorder vector detection and adaptation for classification of multispectral and hyperspectral remote sensing images / N.G. Kasapoglu in IEEE Transactions on geoscience and remote sensing, vol 45 n° 12 Tome 1 (December 2007)
PermalinkComparison of very long baseline interferometry, GPS, and satellite laser ranging height residuals from ITRF2005 using spectral and correlation methods / Xavier Collilieux in Journal of geophysical research : Solid Earth, vol 112 n° B12 (December 2007)
PermalinkFusion of support vector machines for classification of multisensor data / Björn Waske in IEEE Transactions on geoscience and remote sensing, vol 45 n° 12 Tome 1 (December 2007)
PermalinkGeometric accuracy assessment of QuickBird basic imagery using different operational approaches / M. Aguilar in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 12 (December 2007)
PermalinkLand-cover classification in the Brazilian Amazon with the integration of Landsat ETM+ and Radarsat data / Dong Lu in International Journal of Remote Sensing IJRS, vol 28 n°23-24 (December 2007)
PermalinkN-FindR method versus independent component analysis for lithological identification in hyperspectral imagery / C. Gomez in International Journal of Remote Sensing IJRS, vol 28 n°23-24 (December 2007)
PermalinkUn processus de sélection du réseau hydrographique, base sur la détection de structures / Guillaume Touya in Le monde des cartes, n° 194 (décembre 2007)
PermalinkSeasonal sensitivity analysis of impervious surface estimation with satellite imagery / C. Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 12 (December 2007)
PermalinkA sub-pixel location method for interest points by means of the Harris interest strength / Q. Zhu in Photogrammetric record, vol 22 n° 120 (December 2007 - February 2008)
PermalinkA supervised artificial immune classifier for remote-sensing imagery / Y. Zhong in IEEE Transactions on geoscience and remote sensing, vol 45 n° 12 Tome 1 (December 2007)
PermalinkA theoretical approach to modeling the accuracy assessment of digital elevation models / F. Aguilar in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 12 (December 2007)
PermalinkA time-efficient method for anomaly detection in hyperspectral images / O. Duran in IEEE Transactions on geoscience and remote sensing, vol 45 n° 12 Tome 1 (December 2007)
PermalinkUsing remote sensing data to develop seasonal outlooks for Arctic regional sea-ice minimum extent / S. Drobot in Remote sensing of environment, vol 111 n° 2-3 (30 November 2007)
PermalinkStudy of the statistics of water vapor mixing ratio determined from Raman lidar measurements / Pierre Bosser in Applied Optics, vol 46 n° 3 ([20/11/2007])
PermalinkOrthogonal polynomials supported by regional growing segmentation for the extraction of terrain from lidar data / N.A. Akel in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 11 (November 2007)
PermalinkPolarimetric and interferometric SAR image partition into statistically homogeneous regions based on the minimization of the stochastic complexity / J. Morio in IEEE Transactions on geoscience and remote sensing, vol 45 n° 11 Tome 2 (November 2007)
PermalinkSea-ice deformation state from synthetic aperture radar imagery: Part 1 comparison of C- and L-band and different polarization / W. Dierking in IEEE Transactions on geoscience and remote sensing, vol 45 n° 11 Tome 2 (November 2007)
PermalinkVariability of fire-induced changes in MODIS surface reflectance by land-cover type in Borneo / Jukka Miettinen in International Journal of Remote Sensing IJRS, vol 28 n° 21-22 (November 2007)
PermalinkWeighting function alternatives for a subpixel allocation model / Y. Makido in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 11 (November 2007)
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