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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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A comparison of fuzzy vs. augmented-ISODATA classification algorithms for cloud-shadow discrimination from Landsat images / A.M. Melesse in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 9 (September 2002)
[article]
Titre : A comparison of fuzzy vs. augmented-ISODATA classification algorithms for cloud-shadow discrimination from Landsat images Type de document : Article/Communication Auteurs : A.M. Melesse, Auteur ; J.D. Jordan, Auteur Année de publication : 2002 Article en page(s) : pp 905 - 911 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] bande visible
[Termes IGN] classification dirigée
[Termes IGN] classification floue
[Termes IGN] classification ISODATA
[Termes IGN] image Landsat-TM
[Termes IGN] nuage
[Termes IGN] ombreRésumé : (Auteur) Satellite images are the most important source of landcover data over a large range of temporal and spatial scales. However, the complete realization of satellite imagery as a source of landcover information is limited by the presence of contaminants such as cloud and associated shadows in the image. These contaminants are not adequately handled with conventional image classification techniques such as the unsupervised maximumlikelihood technique. This study comprises a comparison of two classification algorithms, the fuzzy technique and an augmented form of the Iterative SelfOrganizing Data Analysis (ISODATA) technique, which were used to discriminate lowaltitude clouds and their shadows on a Landsat Thematic Mapper (TM) image of the Econlockhatchee River basin (Econ), in central Florida. Preliminary conventional unsupervised maxim umlikelihood classification of the image resulted in clouds being mixed with builtups and shadows being mixed with water bodies. Regions containing these two kinds of mixed categories were first masked, then fuzzy and augmented ISODATA classifications were performed on them. The ISODATA classification algorithm was run on the TM visible/shortwave bands and augmented with scatter diagrams of surface temperature versus several vegetation indices; the fuzzy algorithm was run on TM bands 1 through 5 and band 7. An accuracy assessment of the techniques was carried out using 40 randomly selected points within the image. Results of the classifications showed that both algorithms successfully discriminated clouds from other bright features, and shadows from other dark features, with an overall accuracy of greater than 80 percent. Numéro de notice : A2002-182 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/2002journal/september/2002_sep_905 [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22097
in Photogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 9 (September 2002) . - pp 905 - 911[article]Detecting and measuring individual trees using an airborne laser scanner / A. Persson in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 9 (September 2002)
[article]
Titre : Detecting and measuring individual trees using an airborne laser scanner Type de document : Article/Communication Auteurs : A. Persson, Auteur ; Johan Holmgren, Auteur Année de publication : 2002 Article en page(s) : pp 925 - 932 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] arbre (flore)
[Termes IGN] contour
[Termes IGN] données lidar
[Termes IGN] erreur moyenne quadratique
[Termes IGN] forêt
[Termes IGN] houppier
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] troncRésumé : (Auteur) High-resolution airborne laser scanner data offer the possibility to detect and measure individual trees. In this study, an algorithm which estimated position, height, and crown diameter of individual trees was validated with field measurements. Because all the trees in this study were measured on the ground with high accuracy, their positions could be linked with laser measurements, making validation on an individual tree basis possible. In total, 71 percent of the trees were correctly detected using laser scanner data. Because a large portion of the undetected trees had a small stem diameter, 91 percent of the total stem volume was detected. Height and crown diameter of detected trees could be estimated with a root-mean-square error (RMSE) of 0,63 m and 0,61 m, respectively. Stem diameter was estimated, using laser measured tree height and crown diameter, with an RMSE of 3,8 cm. Different laser beam diameters (0,26 to 3,68 m) were also tested, the smallest beam size showing a better detection rate in dense forest. However, estimates of tree height and crown diameter were not affected much by different beam size. Copyright ASPRS Numéro de notice : A2002-323 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/2002journal/september/2002_sep_925 [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22234
in Photogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 9 (September 2002) . - pp 925 - 932[article]GIS and high resolution Spot imagery evaluating the impact of urbanization on agricultural lands / H. Anys in Geocarto international, vol 17 n° 3 (September - November 2002)
[article]
Titre : GIS and high resolution Spot imagery evaluating the impact of urbanization on agricultural lands Type de document : Article/Communication Auteurs : H. Anys, Auteur ; Dong-Chen He, Auteur ; N. Bijaber, Auteur ; A. Bannari, Auteur Année de publication : 2002 Article en page(s) : pp 35 - 41 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] aide à la décision
[Termes IGN] carte d'occupation du sol
[Termes IGN] cartographie statistique
[Termes IGN] classification
[Termes IGN] image panchromatique
[Termes IGN] image SPOT
[Termes IGN] occupation du sol
[Termes IGN] surface cultivée
[Termes IGN] système d'information géographique
[Termes IGN] urbanisationRésumé : (Auteur) This study advocates the use of GIS and remote sensing technologies to establish urban evolution maps and assess the impact of urbanization on agricultural areas over the last three decades. The target area is the city of BeniMellal, located in central Morocco. The methodology adopted makes use of panchromatic SPOT images to survey the urban areas during the 1980s and 1990s. Available topographic maps provided the information for the 1970s. Maps and statistics of land use and urban growth for Beni Mellal were established after manually classifying images on a perpolygon basis and digitizing topographic maps using GIS capabilities. The results show an increase in dense urban area by 980.7 ha from the 1970s to the 1990s. This increase occurred at the expense of forests (24.7 ha), plantations (752.3 ha), rangeland (113.4 ha), nonirrigated land (69.7 ha), and irrigated land (20.6 ha). During this period, scattered urban areas, predominantly suburbs, increased by 755.9 ha to the detriment of forests (14.9 ha), plantations (109.8 ha), rangeland (138.9 ha), nonirrigated land (400.5 ha), and irrigated land (91.9 ha). These cartographic and statistic results are efficient decisionmaking tools for protecting agricultural land and planning urban and suburban areas. Numéro de notice : A2002-285 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040208542242 En ligne : https://doi.org/10.1080/10106040208542242 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22196
in Geocarto international > vol 17 n° 3 (September - November 2002) . - pp 35 - 41[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-02031 RAB Revue Centre de documentation En réserve L003 Disponible Impact of contextual information integration on pixel fusion / Sophie Fabre in IEEE Transactions on geoscience and remote sensing, vol 40 n° 9 (September 2002)
[article]
Titre : Impact of contextual information integration on pixel fusion Type de document : Article/Communication Auteurs : Sophie Fabre, Auteur ; Xavier Briottet , Auteur ; A. Appriou, Auteur Année de publication : 2002 Article en page(s) : pp 1997 - 2010 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classificateur non paramétrique
[Termes IGN] classification de Dempster-Shafer
[Termes IGN] fusion d'images
[Termes IGN] méthode
[Termes IGN] pixel
[Termes IGN] prise en compte du contexte
[Termes IGN] théorie de Dempster-Shafer
[Termes IGN] vapeur d'eauRésumé : (Auteur) Pixel fusion is used to elaborate a classification method at pixel level. It needs to take into account the more accurate as possible information and take advantage of the statistical learning of the previous measurements acquired by sensors. The classical probabilistic fusion methods lack performance when the previous learning is not representative of the real measurements provided by sensors. The DempsterShafer theory is then introduced to face this disadvantage by integrating a further information which is the context of the sensor acquisitions. In this paper, we propose a formalism of modeling of the sensor reliability to the context that leads to two methods of integration: the first one amounts to integrate this further information in the fusion rule as degrees of trust and the second models the sensor reliability directly as mass function. These two methods are compared in the case where the sensor reliability depends on an atmospheric disturbance : the water vapor. Numéro de notice : A2002-288 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.805143 En ligne : https://doi.org/10.1109/TGRS.2002.805143 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22199
in IEEE Transactions on geoscience and remote sensing > vol 40 n° 9 (September 2002) . - pp 1997 - 2010[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-02081 RAB Revue Centre de documentation En réserve L003 Disponible Land cover classification models using Shuttle Imaging Radar (SIR-C) data: a case study in New Hampshire, USA / R. Narayanan in Geocarto international, vol 17 n° 3 (September - November 2002)
[article]
Titre : Land cover classification models using Shuttle Imaging Radar (SIR-C) data: a case study in New Hampshire, USA Type de document : Article/Communication Auteurs : R. Narayanan, Auteur ; Jing Zhang, Auteur Année de publication : 2002 Article en page(s) : pp 57 - 65 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] classification dirigée
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] classification par réseau neuronal
[Termes IGN] covariance
[Termes IGN] fréquence
[Termes IGN] image radar
[Termes IGN] image SIR-C
[Termes IGN] New Hampshire (Etats-Unis)
[Termes IGN] occupation du sol
[Termes IGN] polarisation
[Termes IGN] précision de la classification
[Termes IGN] réalité de terrain
[Termes IGN] varianceRésumé : (Auteur) Spaceborne synthetic aperture radar (SAR) systems have the ability to provide high resolution information on land cover characteristics under adverse conditions such as darkness or cloud cover. The use of multiple frequencies and multiple polarizations yields better classification accuracies. The results of various land cover classification algorithms using Shuttle Imaging Radar (SIR-C) SAR data as applied to a site in Suncook, New Hampshire, are described in this paper. Three classification models were developed and tested: minimum distance classification, maximum a posteriori probability classification, and neural network classification. Using the available ground truth information, land cover was classified into five distinct regions: water, swamp, sand, trees, and grass. All three methods were applied to the same site and results compared. The maximum a posteriori probability approach yielded the highest overall classification accuracy on a pixelbypixel basis. Although the minimum distance approach was simpler than the maximum a posteriori approach, its performance was not as good as the latter since it did not use the covariance information between the data channels. The neural network approach performed well and its results were comparable to the maximum a posteriori approach when the variance of the data was small; however, its performance degraded rapidly when the variance of the data was high. Numéro de notice : A2002-286 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040208542245 En ligne : https://doi.org/10.1080/10106040208542245 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22197
in Geocarto international > vol 17 n° 3 (September - November 2002) . - pp 57 - 65[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-02031 RAB Revue Centre de documentation En réserve L003 Disponible La mouche tsé-tsé sous haute surveillance : cartographie des paysages épidémiologiques de la maladie du sommeil par télédétection et analyse spatiale / D. Laffly in XYZ, n° 92 (septembre - novembre 2002)PermalinkA multiple-cascade-classifier system for a robust and partially unsupervised updating of land-cover maps / Lorenzo Bruzzone in IEEE Transactions on geoscience and remote sensing, vol 40 n° 9 (September 2002)PermalinkSimultaneous graphic generalization of vector data sets / Lars Harrie in Geoinformatica, vol 6 n° 3 (September - November 2002)PermalinkSpatial data mining for enhanced soil map modelling / C.J. Moran in International journal of geographical information science IJGIS, vol 16 n° 6 (september 2002)PermalinkTechniques for mapping suburban sprawl / J. Epstein in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 9 (September 2002)PermalinkEvaluation of SAR-optical imagery synthesis techniques in a complex coastal ecosystem / F.M. Henderson in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 8 (August 2002)PermalinkCurrent strain regime in the Western Alps from continuous Global Positioning System measurements, 1996–2001 / Eric Calais in Geology, vol 30 n° 7 (July 2002)PermalinkExperimental evaluation of positional accuracy estimates from linear network using point- and line-based testing methods / T.G. Van Niel in International journal of geographical information science IJGIS, vol 16 n° 5 (july 2002)PermalinkIntegration of classification methods for improvement of land-cover map accuracy / XiaoHang Liu in ISPRS Journal of photogrammetry and remote sensing, vol 56 n° 4 (July - August 2002)PermalinkAn experimental study on content-based image classication for image databases / R.D. Holowczak in IEEE Transactions on geoscience and remote sensing, vol 40 n° 6 (June 2002)Permalink