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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
contenu dans Proceedings of MVA 2009, IAPR Conference on Machine vision Applications, May 20-22, 2009, Keio University, Japan / Hideo Saito (2009)
Titre : Automatic GIS updating from high resolution satellite images Type de document : Article/Communication Auteurs : Nicolas Champion , Auteur ; Georges Stamon, Auteur ; Marc Pierrot-Deseilligny , Auteur Editeur : International Association for Pattern Recognition IAPR Année de publication : 22/05/2009 Conférence : MVA 2009, IAPR Conference on Machine Vision Applications 20/05/2009 22/05/2009 Yokohama Japon open access proceedings Importance : pp 374 - 377 Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] appariement automatique
[Termes IGN] appariement géométrique
[Termes IGN] base de données localisées
[Termes IGN] bati
[Termes IGN] détection de changement
[Termes IGN] données localisées 2D
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] image à très haute résolution
[Termes IGN] méthode robuste
[Termes IGN] modèle numérique de surface
[Termes IGN] primitive géométrique
[Termes IGN] simulation PleiadesRésumé : (Auteur) Among all the issues involved in Geographic Information Science, automating the update of 2D building databases is a crucial and challenging issue. Such an update usually starts out with a manual change detection process. The main goal of this paper is to present a new method to automate the detection of changes in a 2D building database, starting from satellite images. The workflow of our approach is divided into 2 phases. Primitives, extracted from multiple images or from a correlation Digital Surface Model (DSM), are firstly collected for each building and matched with primitives derived from the existing database to achieve a final decision about acceptance or rejection. A specific algorithm, based on the DSM and a computed Digital Terrain Model (DTM), is subsequently used to extract new buildings. The method is here introduced and tested in two test areas, very different regarding the land use and topography. The out-comes of the method are assessed and show the good performance of our system, especially in terms of completeness, robustness and transferability. Numéro de notice : C2009-043 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : http://www.mva-org.jp/Proceedings/2009CD/papers/12-01.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64285 An assessment of geometric activity features for per-pixel classification of urban man-made objects using Very High Resolution satellite Imagery / J. Chan in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 4 (April 2009)
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Titre : An assessment of geometric activity features for per-pixel classification of urban man-made objects using Very High Resolution satellite Imagery Type de document : Article/Communication Auteurs : J. Chan, Auteur ; R. Bellens, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 397 - 411 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classification pixellaire
[Termes IGN] détail topographique artificiel
[Termes IGN] eCognition
[Termes IGN] image à très haute résolution
[Termes IGN] milieu urbain
[Termes IGN] objet géographique urbain
[Termes IGN] précision de la classification
[Termes IGN] traitement géométrique de donnéesRésumé : (Auteur) In this paper, we propose the use of Geometric Activity (GA) features for detecting man-made objects in urban areas using VHR satellite imagery. These features describe the geometric context of a pixel without the necessity of segmentation and can be integrated as extra bands in a per-pixel classification. Two main types of GA features were investigated: ridge features based on the well-known facet model and morphological features obtained by applying closing transforms with structuring elements of different size and shape. Our findings show a substantial increase in classification accuracy for the man-made object classes “roads and buildings with dark roof” after inclusion of GA features. Next to GA features, the use of object-based features derived from eCognition®, containing both geometric and textural information, was also investigated for per-pixel classification. Accuracies obtained with object-based features are comparable to the accuracies obtained with GA features. The inclusion of both GA features and object-based features further improves the overall accuracy. GA features and object-based features thus contain complementary information. Copyright ASPRS Numéro de notice : A2009-106 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.75.4.397 En ligne : https://doi.org/10.14358/PERS.75.4.397 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29736
in Photogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 4 (April 2009) . - pp 397 - 411[article]Georeferencing accuracy assessment of High-Resolution satellite images using figure condition method / Hyseyin Topan in IEEE Transactions on geoscience and remote sensing, vol 47 n° 4 (April 2009)
[article]
Titre : Georeferencing accuracy assessment of High-Resolution satellite images using figure condition method Type de document : Article/Communication Auteurs : Hyseyin Topan, Auteur ; H.S. Kutoglu, Auteur Année de publication : 2009 Article en page(s) : pp 1256 - 1261 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] estimation de précision
[Termes IGN] géoréférencement
[Termes IGN] image à très haute résolution
[Termes IGN] image Ikonos
[Termes IGN] image ORBVIEW
[Termes IGN] image Quickbird
[Termes IGN] point d'appui
[Termes IGN] point de vérificationRésumé : (Auteur) In the case of sensor-independent georeferencing, accuracy of the used model is commonly assessed by misfits separately obtained from ground control points and independent check points. However, applying only this approach has some disadvantages. This paper proposes using the figure condition method to support the common approach. Applying the figure condition process, a more rigorous analysis of accuracy for the used models can be conducted, and one can decide whether the used model is proper or not. In this contribution, a case study is carried out using affine and extended affine models for high-resolution IKONOS Geo, OrbView-3 Basic, and QuickBird OrthoReady Standard images. The results obtained are subjected to the analysis of figure condition. Copyright IEEE Numéro de notice : A2009-085 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2008.2008098 En ligne : https://doi.org/10.1109/TGRS.2008.2008098 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29715
in IEEE Transactions on geoscience and remote sensing > vol 47 n° 4 (April 2009) . - pp 1256 - 1261[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-09041 RAB Revue Centre de documentation En réserve L003 Disponible Urban area and building detection using SIFT: Keypoints and Graph Theory / B. Simarcek in IEEE Transactions on geoscience and remote sensing, vol 47 n° 4 (April 2009)
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Titre : Urban area and building detection using SIFT: Keypoints and Graph Theory Type de document : Article/Communication Auteurs : B. Simarcek, Auteur ; C. Unsalan, Auteur Année de publication : 2009 Article en page(s) : pp 1156 - 1167 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement de graphes
[Termes IGN] détection du bâti
[Termes IGN] graphe
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image panchromatique
[Termes IGN] milieu urbain
[Termes IGN] SIFT (algorithme)
[Termes IGN] sommet (mathématique)
[Termes IGN] zone urbaineRésumé : (Auteur) Very high resolution satellite images provide valuable information to researchers. Among these, urban-area boundaries and building locations play crucial roles. For a human expert, manually extracting this valuable information is tedious. One possible solution to extract this information is using automated techniques. Unfortunately, the solution is not straightforward if standard image processing and pattern recognition techniques are used. Therefore, to detect the urban area and buildings in satellite images, we propose the use of scale invariant feature transform (SIFT) and graph theoretical tools. SIFT keypoints are powerful in detecting objects under various imaging conditions. However, SIFT is not sufficient for detecting urban areas and buildings alone. Therefore, we formalize the problem in terms of graph theory. In forming the graph, we represent each keypoint as a vertex of the graph. The unary and binary relationships between these vertices (such as spatial distance and intensity values) lead to the edges of the graph. Based on this formalism, we extract the urban area using a novel multiple subgraph matching method. Then, we extract separate buildings in the urban area using a novel graph cut method. We form a diverse and representative test set using panchromatic 1-m-resolution Ikonos imagery. By extensive testings, we report very promising results on automatically detecting urban areas and buildings. Copyright IEEE Numéro de notice : A2009-084 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2008.2008440 En ligne : https://doi.org/10.1109/TGRS.2008.2008440 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29714
in IEEE Transactions on geoscience and remote sensing > vol 47 n° 4 (April 2009) . - pp 1156 - 1167[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-09041 RAB Revue Centre de documentation En réserve L003 Disponible A graph cut optimization guided by 3D-features for surface height recovery / Nesrine Chehata in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 2 (March - April 2009)PermalinkUtilisation d'images satellites à haute résolution pour la gestion du territoire de la ville de Luanda (Angola) / Valerio Baiocchi in Géomatique expert, n° 67 (01/02/2009)PermalinkAutomatic estimation of fine terrain models from multiple high-resolution satellite images / Nicolas Champion (2009)PermalinkAutomatic revision of 2D building databases from high resolution satellite imagery : a 3D photogrammetric approach / Nicolas Champion (2009)PermalinkRegion based segmentation of Quickbird multispectral imagery through band ratios and fuzzy comparison / B. Wuest in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 1 (January - February 2009)PermalinkTerrasar-X1M spaceborne radar / M. Weber in GIM international, vol 23 n° 1 (January 2009)PermalinkAssessing geometric reliability of corrected images from very high resolution satellites / M. Aguilar in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)PermalinkAutomated derivation of bathymetric information from multi-spectral satellite imagery using a non-linear inversion model / H. Su in Marine geodesy, vol 31 n° 4 (December 2008)PermalinkClassification of very high spatial resolution imagery based on the fusion of edge and multispectral information / X. Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)PermalinkQuantifying indicators of riparian condition in Australian tropical savannas: integrating high spatial resolution imagery and field survey data / K. Johansen in International Journal of Remote Sensing IJRS, vol 29 n°23 - 24 (December 2008)Permalink