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Density equalizing distortion of large geographic point sets / P. Bak in Cartography and Geographic Information Science, vol 36 n° 3 (July 2009)
[article]
Titre : Density equalizing distortion of large geographic point sets Type de document : Article/Communication Auteurs : P. Bak, Auteur ; M. Schaefer, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 237 - 250 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] analyse de données
[Termes IGN] cartogramme
[Termes IGN] cartographie statistique
[Termes IGN] densité des points
[Termes IGN] traitement de données localisées
[Termes IGN] visualisation de donnéesRésumé : (Auteur) Visualizing large geo-demographical datasets using pixel-based techniques involves mapping the geospatial dimensions of a data point to screen coordinates and appropriately encoding its statistical value by color. The analysis of such data presents a great challenge. General tasks involve clustering, categorization, and searching for patterns of interest for sociological or economic research. Available visual encodings and screen space limitations lead to over-plotting and hiding of patterns and clusters in densely populated areas, while sparsely populated areas waste space and draw the attention away from the areas of interest. In this paper, two new approaches (RadialScale and AngularScale) are introduced to create density-equalized maps, while preserving recognizable features and neighborhoods in the visualization. These approaches build the core of a multi-scaling technique based on local features of the data described as local minima and maxima of point density. Scaling is conducted several times around these features, which leads to more homogeneous distortions. Results are illustrated using several real-world datasets. Our evaluation shows that the proposed techniques outperform traditional techniques as regard the homogeneity of the resulting data distributions and therefore build a more appropriate basis for analytic purposes. Copyright CaGISociet Numéro de notice : A2009-268 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1559/152304009788988288 En ligne : https://doi.org/10.1559/152304009788988288 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29898
in Cartography and Geographic Information Science > vol 36 n° 3 (July 2009) . - pp 237 - 250[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-09031 RAB Revue Centre de documentation En réserve L003 Disponible Optimizing Support Vector Machine learning for semi-arid vegetation mapping by using clustering analysis / L. Su in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 4 (July - August 2009)
[article]
Titre : Optimizing Support Vector Machine learning for semi-arid vegetation mapping by using clustering analysis Type de document : Article/Communication Auteurs : L. Su, Auteur Année de publication : 2009 Article en page(s) : pp 407 - 413 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse de groupement
[Termes IGN] apprentissage automatique
[Termes IGN] carte de la végétation
[Termes IGN] classification ascendante hiérarchique
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] occupation du sol
[Termes IGN] précision de la classification
[Termes IGN] séparateur à vaste marge
[Termes IGN] zone semi-arideRésumé : (Auteur) In remote sensing communities, support vector machine (SVM) learning has recently received increasing attention. SVM learning usually requires large memory and enormous amounts of computation time on large training sets. According to SVM algorithms, the SVM classification decision function is fully determined by support vectors, which compose a subset of the training sets. In this regard, a solution to optimize SVM learning is to efficiently reduce training sets. In this paper, a data reduction method based on agglomerative hierarchical clustering is proposed to obtain smaller training sets for SVM learning. Using a multiple angle remote sensing dataset of a semi-arid region, the effectiveness of the proposed method is evaluated by classification experiments with a series of reduced training sets. The experiments show that there is no loss of SVM accuracy when the original training set is reduced to 34% using the proposed approach. Maximum likelihood classification (MLC) also is applied on the reduced training sets. The results show that MLC can also maintain the classification accuracy. This implies that the most informative data instances can be retained by this approach. Copyright ISPRS Numéro de notice : A2009-297 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2009.02.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2009.02.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29927
in ISPRS Journal of photogrammetry and remote sensing > vol 64 n° 4 (July - August 2009) . - pp 407 - 413[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-09041 SL Revue Centre de documentation Revues en salle Disponible Assessing image processing techniques for geological mapping: a case study in Eljufra, Libya / N.M. Saadi in Geocarto international, vol 24 n° 3 (June - July 2009)
[article]
Titre : Assessing image processing techniques for geological mapping: a case study in Eljufra, Libya Type de document : Article/Communication Auteurs : N.M. Saadi, Auteur ; K. Watanabe, Auteur Année de publication : 2009 Article en page(s) : pp 241 - 253 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] carte géologique
[Termes IGN] fusion d'images
[Termes IGN] géologie locale
[Termes IGN] image ERS-SAR
[Termes IGN] image Landsat-ETM+
[Termes IGN] linéament
[Termes IGN] lithologie
[Termes IGN] MNS SRTM
[Termes IGN] réponse spectrale
[Termes IGN] tectonique des plaques
[Termes IGN] traitement d'image
[Termes IGN] zone arideRésumé : (Auteur) Various image processing techniques were experimented with in this study to evaluate their efficiency for geological mapping in the Eljufra area of northwest Libya. Remote sensing data including multi-spectral optical Landsat Enhanced Thematic Mapper (ETM+), Synthetic Aperture Radar (ERS-2 SAR) and Digital Elevation Models (DEMs) extracted from the Shuttle Radar Topography Mission (SRTM) data were used to trace different lithological units as well as extracting geological lineaments in the study area. The study area is located in an arid environment mostly devoid of any vegetation. Most lithological and structural units are distinguishable based on their topographic form and spectral properties. Fusion of ETM+ and ERS-2 images was experimented with to further identify lithological units. Shaded relief techniques were implemented to enhance terrain perspective views and to extract geological lineaments. The results discriminated different rock units and modified formation boundaries and revealed new geological lineaments. Nine rock units were identified and plotted in the new geological map defined by the new boundaries. The dominant lineaments tend to run in the NNW-SSE and NNE-SSW directions. Analysis and interpretation of the lineaments provided information about the tectonic evolution of the study area. Copyright Taylor & Francis Numéro de notice : A2009-187 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040802556199 Date de publication en ligne : 19/05/2009 En ligne : https://doi.org/10.1080/10106040802556199 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29817
in Geocarto international > vol 24 n° 3 (June - July 2009) . - pp 241 - 253[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-09031 RAB Revue Centre de documentation En réserve L003 Disponible Automatic and accurate extraction of road intersections from raster maps / Yao-Yi Chiang in Geoinformatica, vol 13 n° 2 (June 2009)
[article]
Titre : Automatic and accurate extraction of road intersections from raster maps Type de document : Article/Communication Auteurs : Yao-Yi Chiang, Auteur ; C. Shahabi, Auteur ; Craig A. Knoblock, Auteur ; C.C. Chen, Auteur Année de publication : 2009 Article en page(s) : pp 121 - 157 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] carrefour
[Termes IGN] carte numérique
[Termes IGN] conflation
[Termes IGN] connexité (topologie)
[Termes IGN] données maillées
[Termes IGN] extraction automatique
[Termes IGN] extraction du réseau routier
[Termes IGN] intégration de données
[Termes IGN] réseau routierRésumé : (Auteur) Since maps are widely available for many areas around the globe, they provide a valuable resource to help understand other geospatial sources such as to identify roads or to annotate buildings in imagery. To utilize the maps for understanding other geospatial sources, one of the most valuable types of information we need from the map is the road network, because the roads are common features used across different geospatial data sets. Specifically, the set of road intersections of the map provides key information about the road network, which includes the location of the road junctions, the number of roads that meet at the intersections (i.e., connectivity), and the orientations of these roads. The set of road intersections helps to identify roads on imagery by serving as initial seed templates to locate road pixels. Moreover, a conflation system can use the road intersections as reference features (i.e., control point set) to align the map with other geospatial sources, such as aerial imagery or vector data. In this paper, we present a framework for automatically and accurately extracting road intersections from raster maps. Identifying the road intersections is difficult because raster maps typically contain much information such as roads, symbols, characters, or even contour lines. We combine a variety of image processing and graphics recognition methods to automatically separate roads from the raster map and then extract the road intersections. The extracted information includes a set of road intersection positions, the road connectivity, and road orientations. For the problem of road intersection extraction, our approach achieves over 95% precision (correctness) with over 75% recall (completeness) on average on a set of 70 raster maps from a variety of sources. Copyright Springer Numéro de notice : A2009-073 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007/s10707-008-0046-3 En ligne : https://doi.org/10.1007/s10707-008-0046-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29703
in Geoinformatica > vol 13 n° 2 (June 2009) . - pp 121 - 157[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-09021 RAB Revue Centre de documentation En réserve L003 Disponible Fusion of multi-spectral SPOT-5 images and very high resolution texture information extracted from digital orthophotos for automatic classification of complex Alpine areas / C. Mariz in International Journal of Remote Sensing IJRS, vol 30 n°11-12 (June 2009)
[article]
Titre : Fusion of multi-spectral SPOT-5 images and very high resolution texture information extracted from digital orthophotos for automatic classification of complex Alpine areas Type de document : Article/Communication Auteurs : C. Mariz, Auteur ; D. Gianelle, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 2859 - 2873 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] alpes orientales
[Termes IGN] carte de la végétation
[Termes IGN] classe d'objets
[Termes IGN] classification automatique
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] fusion d'images
[Termes IGN] image à très haute résolution
[Termes IGN] image multibande
[Termes IGN] image SPOT 5
[Termes IGN] orthoimage
[Termes IGN] texture d'image
[Termes IGN] TrenteRésumé : (Auteur) In areas with complex three-dimensional features, slope and aspect interact with light conditions and significantly affect the spatial structure of images acquired by remote sensing instruments (for example, by changing the distribution of shadows and affecting the texture of high resolution imagery). In this scenario, this paper analyses the potential and the effectiveness of an automatic classification system to identify three fundamental vegetation classes (forest, grassland and crops) in the complex topography of the Italian Alps (Autonomous Province of Trento, Italy). This classification system is based on the fusion of spectral information provided by the SPOT-5 multi-spectral channels (Ground Instantaneous Field of View, GIFOV, equal to 10 m) and textural information extracted from airborne digital orthophotos (GIFOV equal to 1 m) and is designed to be user-friendly. The texture of the digital orthophotos was modelled using defined bidirectional variograms, thereby extracting additional information unavailable in first-order texture analyses. Using SPOT-5 multi-spectral information alone, the classification accuracy in the investigated alpine area was equal to 87.5%, but increased to 92.1% when texture information was included. In particular, the texture information significantly increased the classification accuracy for crops (from 68.9% to 87.9%), especially orchards that tend to be classified as lowland deciduous forests, and herbaceous crops (such as maize) that are often misclassified as grasslands. A further simple majority analysis increased the ability of detecting grassland, crops and urban zones. The combination of the majority analysis and the proposed automatic classification system seems an effective approach to classifying vegetation types in highly fragmented and complex Alpine landscapes on a regional scale. Copyright Taylor & Francis Numéro de notice : A2009-258 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160802558600 En ligne : https://doi.org/10.1080/01431160802558600 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29888
in International Journal of Remote Sensing IJRS > vol 30 n°11-12 (June 2009) . - pp 2859 - 2873[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-09071 RAB Revue Centre de documentation En réserve L003 Disponible Influence of macroscale and microscale surface roughness on multi-beam RADARSAT-1 data: implications for geological mapping in the Curaçá Valley, Brazil / W.R. Paradella in Photo interprétation, European journal of applied remote sensing, vol 45 n° 2 (juin 2009)PermalinkLand-use mapping in Australia: satellite imagery and property management / L. Blacklock in Geoinformatics, vol 12 n° 4 (01/06/2009)PermalinkA ''living'' atlas for geospatial storytelling: the cybercartographic atlas of indigenous perspectives ... Atlas of indigenous perspectives and knowledge of the Great Lakes Region in Ontario / Sébastien Caquard in Cartographica, vol 44 n° 2 (June 2009)PermalinkShape deformation in continuous map generalization / J. Danciger in Geoinformatica, vol 13 n° 2 (June 2009)PermalinkUn socle de données grande échelle transfrontalier ! / Laurent Detraz in Géomatique expert, n° 69 (juin - juillet 2009)PermalinkTechniques cartographiques : cartographie théorique et anamorphose / E. Habert in Le monde des cartes, n° 200 (juin 2009)PermalinkUtilisation d'un SIG nomade couplé à un GPS pour cartographier les paysages du Sud-Ouest toulousain / Yves Auda in XYZ, n° 119 (juin - août 2009)PermalinkCartographie environnementale et forestière : quels enjeux ? / Christophe Barbe in Forêt entreprise, n° 186 (2009/3)PermalinkLe SIG pêche / Françoise de Blomac in SIG la lettre, n° 107 (mai 2009)PermalinkMapping urban road infrastructure using remotely sensed images / Taskin Kavzoglu in International Journal of Remote Sensing IJRS, vol 30 n° 7 (April 2009)PermalinkEvaluating AISA+ hyperspectral imagery for mapping black mangrove along the South Texas gulf coast / C. 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Henriques in International journal of geographical information science IJGIS, vol 23 n°3-4 (march - april 2009)PermalinkCartographier les interfaces habitat-forêt : un enjeu pour la prévention / Corinne Lampin-Maillet in Forêt entreprise, n° 185 (2009/2)PermalinkLa couverture végétale du coeur de l'agglomération de Paris : une approche par la télédétection de précision / M.T. Besse in Le monde des cartes, n° 199 (mars 2009)PermalinkDevelopment of comprehensive geodetic vertical datums for the United States Pacific Territories of American Samoa, Guam, and the Northern Marianas / E. 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Pekkarinen in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 2 (March - April 2009)PermalinkQuelle démarche cognitive pour une carte mondiale de l'aréisme ? : Les enseignements de la correspondance De Martonne - Aufrère / Pierre Marty in Le monde des cartes, n° 199 (mars 2009)PermalinkAviation légère de l'armée de terre : des SIG au service des pilotes d'hélicoptères de combat / Philippe Lépinard in Géomatique expert, n° 67 (01/02/2009)PermalinkMapping vegetated wetlands of Alaska using L-band radar satellite imagery / Jane Whitcomb in Canadian journal of remote sensing, vol 35 n° 1 (February 2009)PermalinkSaint-Martin, entre France et Pays-Bas / Anonyme in Géomatique expert, n° 67 (01/02/2009)PermalinkSimple DEM-based methods to delineate Channel networks for hydrogeomorphological mapping / K. Matsunaga in Transactions in GIS, vol 13 n° 1 (February 2009)PermalinkTrop chaud là-haut ! / Françoise de Blomac in SIG la lettre, n° 104 (février 2009)PermalinkPermalinkAide à la conception de légendes personnalisées et originales : proposition d'une méthode coopérative pour le choix des couleurs [diaporama] / Sidonie Christophe (2009)PermalinkL'aménagement du territoire en images / Christel Alvergne (2009)PermalinkApprentissage automatique des classes d'occupation du sol et représentation en mots visuels des images satellitaires / Marie Lauginie Lienou (2009)PermalinkAutomatisation de mises à jour cartographiques sous MapInfo / Jérémy Guilbaud (2009)PermalinkLes bords des champs cultivés, ultime refuge des mauvaises herbes / Patricia Léveillé in INRA magazine, n° 7 (janvier 2009)PermalinkCartography and art / William Cartwright (2009)PermalinkCharacterizing maps to improve ondemand cartography : the example of European topographic maps / Laurence Jolivet (2009)PermalinkConnaissances opérationnelles pour la conception automatique de légendes de cartes / Catherine Dominguès (2009)PermalinkDessiner ses plans avec QCad / A. 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