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Auteur S. Lee |
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User interactive multiple aerial view analysis for reconstructing a large number of 3D architectural models / S. Lee in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 4 (July - August 2011)
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Titre : User interactive multiple aerial view analysis for reconstructing a large number of 3D architectural models Type de document : Article/Communication Auteurs : S. Lee, Auteur ; R. Nevatia, Auteur Année de publication : 2011 Article en page(s) : pp 446 - 462 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] données localisées des bénévoles
[Termes IGN] interactivité
[Termes IGN] objet géographique complexe
[Termes IGN] photogrammétrie architecturale
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] traitement d'imageRésumé : (Auteur) An effective 3D method incorporating user assistance for modeling complex buildings is described. This method utilizes the connectivity and similar structure information among unit blocks in a multi-component building structure, to enable the user to incrementally construct models of many types of buildings. The system attempts to minimize the complexity and the number of user interactions needed to assist an existing automatic system in this task. Several examples are presented that demonstrate significant improvement and efficiency, compared with other approaches and with purely manual systems. Numéro de notice : A2011-297 Affiliation des auteurs : non IGN Thématique : IMAGERIE/SOCIETE NUMERIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.02.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.02.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31076
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 4 (July - August 2011) . - pp 446 - 462[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2011041 SL Revue Centre de documentation Revues en salle Disponible Subpixel analysis of Landsat ETM/sup +/ using self-organizing map (SOM) neural networks for urban land cover characterization / S. Lee in IEEE Transactions on geoscience and remote sensing, vol 44 n° 6 (June 2006)
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Titre : Subpixel analysis of Landsat ETM/sup +/ using self-organizing map (SOM) neural networks for urban land cover characterization Type de document : Article/Communication Auteurs : S. Lee, Auteur ; R.G. Lathrop, Auteur Année de publication : 2006 Article en page(s) : pp 1642 - 1654 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse infrapixellaire
[Termes IGN] analyse linéaire des mélanges spectraux
[Termes IGN] apprentissage automatique
[Termes IGN] carte d'occupation du sol
[Termes IGN] carte de Kohonen
[Termes IGN] image Ikonos
[Termes IGN] image Landsat-ETM+
[Termes IGN] surface imperméable
[Termes IGN] végétation
[Termes IGN] zone urbaineRésumé : (Auteur) This paper examines the subpixel analysis of Landsat ETM+ data to estimate the percent cover of impervious surface, lawn, and woody tree cover in typical urban/suburban land-scapes. By combining Self-Organizing Map (SOM), Learning Vector Quantization (LVQ), and Gaussian Mixture Model (GMM) methods, the posterior probability of the various land cover components were estimated for each pixel as a means of sub-pixel analysis. The estimation of impervious surface and the differentiation of urban vegetation grass versus woody tree coverage the main objectives of this paper. Overall, the output estimates compared favorably with those obtained using higher spatial resolution aerial photograph and IKONOS satellite image and traditional hard classification techniques as independent reference. The SOM-LVQ-GMM mode! showed a moderate degree of similarity in the estimates of impervious surface [root mean-square errors (RMSEs) of Numéro de notice : A2006-261 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.869984 En ligne : https://doi.org/10.1109/TGRS.2006.869984 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27988
in IEEE Transactions on geoscience and remote sensing > vol 44 n° 6 (June 2006) . - pp 1642 - 1654[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-06061 RAB Revue Centre de documentation En réserve L003 Disponible Sub-pixel estimation of urban land cover components with linear mixture model analysis and Landsat Thematic Mapper imagery / S. Lee in International Journal of Remote Sensing IJRS, vol 26 n° 22 (November 2005)
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Titre : Sub-pixel estimation of urban land cover components with linear mixture model analysis and Landsat Thematic Mapper imagery Type de document : Article/Communication Auteurs : S. Lee, Auteur ; R.G. Lathrop, Auteur Année de publication : 2005 Article en page(s) : pp 4885 - 4905 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] analyse d'image numérique
[Termes IGN] analyse linéaire des mélanges spectraux
[Termes IGN] écosystème
[Termes IGN] image Ikonos
[Termes IGN] image Landsat-ETM+
[Termes IGN] orthoimage
[Termes IGN] photo-interprétation assistée par ordinateur
[Termes IGN] zone urbaineRésumé : (Auteur) We examine the utility of linear mixture modelling in the sub-pixel analysis of Landsat Enhanced Thematic Mapper (ETM) imagery to estimate the three key land cover components in an urban/suburban setting: impervious surface, managed/unmanaged lawn and tree cover. The relative effectiveness of two different endmember sets was also compared. The interior endmember set consisted of the median pixel value of the training pixels of each land cover and the exterior endmember set was the extreme pixel value. As a means of accuracy assessment, the resulting land cover estimates were compared with independent estimates obtained from the visual interpretation of digital orthophotography and classified IKONOS imagery. Impervious surface estimates from the Landsat ETM showed a high degree of similarity (RMS error (RMSE) within approximately + 10 to 15%) to that obtained using high spatial resolution digital orthophotography and IKONOS imagery. The partition of the vegetation component into tree vs grass cover was more problematic due to the greater spectral similarity between these land cover types with RMSE of approximately + 12 to 22%. The interior endmember set appeared to provide better differentiation between grass and urban tree cover than the exterior endmember set. The ability to separate the grass vs tree components in urban vegetation is of major importance to the study of the urban/suburban ecosystems as well as watershed assessment. Numéro de notice : A2005-508 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500300222 En ligne : https://doi.org/10.1080/01431160500300222 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27644
in International Journal of Remote Sensing IJRS > vol 26 n° 22 (November 2005) . - pp 4885 - 4905[article]Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 080-05221 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data / S. Lee in International Journal of Remote Sensing IJRS, vol 26 n° 7 (April 2005)
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Titre : Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data Type de document : Article/Communication Auteurs : S. Lee, Auteur Année de publication : 2005 Article en page(s) : pp 1477 - 1491 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] base de données topographiques
[Termes IGN] données de terrain
[Termes IGN] effondrement de terrain
[Termes IGN] image Landsat-TM
[Termes IGN] image SPOT
[Termes IGN] indice de végétation
[Termes IGN] Malaisie
[Termes IGN] modèle de régression
[Termes IGN] photo-interprétation
[Termes IGN] photographie aérienne
[Termes IGN] prévention des risques
[Termes IGN] risque naturel
[Termes IGN] système d'information géographique
[Termes IGN] utilisation du solRésumé : (Auteur) The aim of this study is to evaluate the hazard of landslide at Penang Malaysia, using a Geographical Information System (GIS) and remote sensing. Landslide locations were identified in the study area from interpretation of aerial photographs and from field surveys. Topographical and geological data and satellite images were collected, processed and constructed into a spatial database using GIS and image processing. The factors chosen that influence landslide occurrence were: topographic slope, topographic aspect topographic curvature and distance from drainage, all from the topographic database; lithology and distance from lineament, taken from the geologic database: land use from Thematic Mapper (TM) satellite images; and the vegetation index value from Systeme Probatoire de l'Observation de la Terre (SPOT) .satellites images. Landslide hazardous areas were analysed and mapped using the landslide-occurrence factors by logistic regression model. The results of the analysis .were verified using the landslide location data and compared with probabilistic model. The validation results showed that the logistic regression model is better in prediction than probabilistic model. Numéro de notice : A2005-180 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160412331331012 En ligne : https://doi.org/10.1080/01431160412331331012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27317
in International Journal of Remote Sensing IJRS > vol 26 n° 7 (April 2005) . - pp 1477 - 1491[article]Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 080-05071 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Landslide susceptibility mapping using GIS and the weight-of-evidence model / S. Lee in International journal of geographical information science IJGIS, vol 18 n° 8 (december 2004)
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Titre : Landslide susceptibility mapping using GIS and the weight-of-evidence model Type de document : Article/Communication Auteurs : S. Lee, Auteur ; J. Choi, Auteur Année de publication : 2004 Article en page(s) : pp 789 - 814 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] ArcInfo
[Termes IGN] axiome de Bayes
[Termes IGN] cartographie des risques
[Termes IGN] Corée du sud
[Termes IGN] dommage matériel
[Termes IGN] effondrement de terrain
[Termes IGN] image IRS
[Termes IGN] image Landsat-TM
[Termes IGN] modèle stochastique
[Termes IGN] risque naturel
[Termes IGN] système d'information géographiqueRésumé : (Auteur) The weights-of-evidence model (a Bayesian probability model) was applied to the task of evaluating landslide susceptibility using GIS. Using landslide location and a spatial database containing information such as topography, soil, forest, geology, land cover and lineament, the weights-of-evidence model was applied to calculate each relevant factor's rating for the Boun area in Korea, which had suffered substantial landslide damage following heavy rain in 1998. In the topographic database, the factors were slope, aspect and curvature; in the soil database, they were soil texture, soil material, soil drainage, soil effective thickness and topographic type; in the forest map, they were forest type, timber diameter, timber age and forest density; lithology was derived from the geological database; land-use information came from Landsat TM satellite imagery; and lineament data from IRS satellite imagery. Tests of conditional independence were performed for the selection of factors, allowing 43 combinations of factors to be analysed. For the analysis of mapping landslide susceptibility, the contrast values, W+ and W-, of each factor's rating were overlaid spatially. The results of the analysis were validated using the previous landslide locations. The combination of slope, curvature, topography, timber diameter, geology and lineament showed the best results. The results can be used for hazard prevention and land-use planning. Numéro de notice : A2004-484 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810410001702003 En ligne : https://doi.org/10.1080/13658810410001702003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27002
in International journal of geographical information science IJGIS > vol 18 n° 8 (december 2004) . - pp 789 - 814[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-04081 RAB Revue Centre de documentation En réserve L003 Disponible 079-04082 RAB Revue Centre de documentation En réserve L003 Disponible Probabilistic landslide hazard mapping using GIS and remote sensing data at Boun, Korea / S. Lee in International Journal of Remote Sensing IJRS, vol 25 n° 11 (June 2004)PermalinkVariation in point positioning accuracies for single frequency GPS users during solar maximum / S. Skone in Geomatica, vol 56 n° 2 (June 2002)Permalink