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Uncertainty analysis for the classification of multispectral satellite images using SVMs and SOMs / F. Giacco in IEEE Transactions on geoscience and remote sensing, vol 48 n° 10 (October 2010)
[article]
Titre : Uncertainty analysis for the classification of multispectral satellite images using SVMs and SOMs Type de document : Article/Communication Auteurs : F. Giacco, Auteur ; C. Thiel, Auteur ; L. Pugliese, Auteur ; S. Scarpetta, Auteur ; M. Marinaro, Auteur Année de publication : 2010 Article en page(s) : pp 3769 - 3779 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] carte d'occupation du sol
[Termes IGN] carte de Kohonen
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] image multibande
[Termes IGN] incertitude des donnéesRésumé : (Auteur) Classification of multispectral remotely sensed data with textural features is investigated with a special focus on uncertainty analysis in the produced land-cover maps. Much effort has already been directed into the research of satisfactory accuracy-assessment techniques in image classification, but a common approach is not yet universally adopted. We look at the relationship between hard accuracy and the uncertainty on the produced answers, introducing two measures based on maximum probability and quadratic entropy. Their impact differs depending on the type of classifier. In this paper, we deal with two different classification strategies, based on support vector machines (SVMs) and Kohonen's self-organizing maps (SOMs), both suitably modified to give soft answers. Once the multiclass probability answer vector is available for each pixel in the image, we studied the behavior of the overall classification accuracy as a function of the uncertainty associated with each vector, given a hard-labeled test set. The experimental results show that the SVM with one-versus-one architecture and linear kernel clearly outperforms the other supervised approaches in terms of overall accuracy. On the other hand, our analysis reveals that the proposed SOM-based classifier, despite its unsupervised learning procedure, is able to provide soft answers which are the best candidates for a fusion with supervised results. Numéro de notice : A2010-475 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2010.2047863 Date de publication en ligne : 27/05/2010 En ligne : https://doi.org/10.1109/TGRS.2010.2047863 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30668
in IEEE Transactions on geoscience and remote sensing > vol 48 n° 10 (October 2010) . - pp 3769 - 3779[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2010101 RAB Revue Centre de documentation En réserve L003 Disponible Automatic detection of residential building using LIDAR data and multispectral imagery / M. Awrangjeb in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 5 (September - October 2010)
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Titre : Automatic detection of residential building using LIDAR data and multispectral imagery Type de document : Article/Communication Auteurs : M. Awrangjeb, Auteur ; M. Ravanbakhsh, Auteur ; Clive Simpson Fraser, Auteur Année de publication : 2010 Article en page(s) : pp 457 - 467 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] correction d'image
[Termes IGN] détection du bâti
[Termes IGN] données lidar
[Termes IGN] image multibande
[Termes IGN] masque
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] seuillage d'imageRésumé : (Auteur) This paper presents an automatic building detection technique using LIDAR data and multispectral imagery. Two masks are obtained from the LIDAR data: a ‘primary building mask’ and a ‘secondary building mask’. The primary building mask indicates the void areas where the laser does not reach below a certain height threshold. The secondary building mask indicates the filled areas, from where the laser reflects, above the same threshold. Line segments are extracted from around the void areas in the primary building mask. Line segments around trees are removed using the normalized difference vegetation index derived from the orthorectified multispectral images. The initial building positions are obtained based on the remaining line segments. The complete buildings are detected from their initial positions using the two masks and multispectral images in the YIQ colour system. It is experimentally shown that the proposed technique can successfully detect urban residential buildings, when assessed in terms of 15 indices including completeness, correctness and quality. Numéro de notice : A2010-448 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2010.06.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2010.06.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30641
in ISPRS Journal of photogrammetry and remote sensing > vol 65 n° 5 (September - October 2010) . - pp 457 - 467[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2010051 SL Revue Centre de documentation Revues en salle Disponible Comparison of matching algorithms for DSM generation in urban areas from ikonos imagery / A. Alobeid in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 9 (September 2010)
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Titre : Comparison of matching algorithms for DSM generation in urban areas from ikonos imagery Type de document : Article/Communication Auteurs : A. Alobeid, Auteur ; Karsten Jacobsen, Auteur ; Christian Heipke, Auteur Année de publication : 2010 Article en page(s) : pp 1041 - 1050 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] analyse comparative
[Termes IGN] appariement automatique
[Termes IGN] appariement semi-global
[Termes IGN] détection du bâti
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image optique
[Termes IGN] méthode des moindres carrés
[Termes IGN] milieu urbain
[Termes IGN] modèle numérique de surface
[Termes IGN] programmation dynamiqueRésumé : (Auteur) The extraction of the third dimension from remote sensing data is a well known technique. Since in a number of countries aerial images and laser scanner data are unavailable, expensive or classified, stereoscopic high-resolution optical satellite images provide a viable alternative for generating digital surface and digital terrain models. Especially the automatic extraction of highly accurate 3D surface models in urban areas is still a very complicated task due to occlusions, large differences in height and the variety of objects and surface material. In this paper, an analysis and a visual and quantitative comparison of three different matching algorithms for generating urban DSMs based on very high-resolution satellite images is presented. The three algorithms are least squares matching (lsm) in a region growing fashion, dynamic programming (DP) and semiglobal matching (sgm). The characteristics of the three algorithms as applied to four different Ikonos stereo pairs with a ground sampling distance of 1 m are shown. The following results were obtained: visually, in the lsm results the shape of the buildings is considerably smoothed. While in the DP results the building shape is sharper, only little detail is visible on the building roofs, and streaking along the epipolar lines causes problems. With SGM, more details can be extracted and the results visually have the best quality. Based on reference data for the different test sites, the standard deviation of the building heights determined by LSM and DP is in the range of one pixel or slightly better, while it is in the range of half a pixel for SGM. Numéro de notice : A2010-366 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.9.1041 En ligne : https://doi.org/10.14358/PERS.76.9.1041 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30560
in Photogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 9 (September 2010) . - pp 1041 - 1050[article]Embedding spatial information into image content description for scene retrieval / Nguyen-Vu Hoang in Pattern recognition, vol 43 n° 9 (September 2010)
[article]
Titre : Embedding spatial information into image content description for scene retrieval Type de document : Article/Communication Auteurs : Nguyen-Vu Hoang, Auteur ; Valérie Gouet-Brunet , Auteur ; Marta Rukoz, Auteur ; M. Manouvrier, Auteur Année de publication : 2010 Projets : 1-Pas de projet / Article en page(s) : pp 3013 -3024 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] base de données d'images
[Termes IGN] point d'intérêt
[Termes IGN] recherche d'image basée sur le contenu
[Termes IGN] scèneRésumé : (auteur) This article presents , an image content representation describing the spatial layout with triangular relationships of visual entities, which can be symbolic objects or low-level visual features. A semi-local implementation of is also proposed, making the description robust to viewpoint changes. We evaluate for image retrieval under the query-by-example paradigm, on contents represented with interest points in a bag-of-features model: it improves state-of-the-art techniques, in terms of retrieval quality as well as of execution time, and is scalable. Finally, its effectiveness is evaluated on a topical scenario dedicated to scene retrieval in datasets of city landmarks. Numéro de notice : A2010-685 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.patcog.2010.03.024 Date de publication en ligne : 08/04/2010 En ligne : https://doi.org/10.1016/j.patcog.2010.03.024 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95978
in Pattern recognition > vol 43 n° 9 (September 2010) . - pp 3013 -3024[article]Open source water quality analysis / A. Lo Tauro in GEO: Geoconnexion international, vol 9 n° 8 (september 2010)
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Titre : Open source water quality analysis Type de document : Article/Communication Auteurs : A. Lo Tauro, Auteur Année de publication : 2010 Article en page(s) : pp 24 - 27 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] érosion côtière
[Termes IGN] image EO1-Hyperion
[Termes IGN] image hyperspectrale
[Termes IGN] image MIVIS
[Termes IGN] logiciel libre
[Termes IGN] positionnement par GPS
[Termes IGN] qualité des eaux
[Termes IGN] surveillance du littoral
[Termes IGN] système d'information géographiqueRésumé : (Auteur) A project to monitor, simulate and control water quality parameters has the aim of helping managers and authorities of coastal areas to select the most suitable environmental indicators, taking into account the data available. Hyperspectral analysis of water quality has the potential of enhancing the abilities of resource managers to monitor water bodies in a timely and cost-effective manner. Numéro de notice : A2010-342 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30536
in GEO: Geoconnexion international > vol 9 n° 8 (september 2010) . - pp 24 - 27[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 062-2010081 SL Revue Centre de documentation Revues en salle Disponible Remote sensing and climate change: observation in the Alps / K. Spannraft in Geoinformatics, vol 13 n° 6 (01/09/2010)PermalinkLand cover characterization for hydrological modelling using thermal infrared emissivities / A. French in International Journal of Remote Sensing IJRS, vol 31 n° 14 (July 2010)PermalinkContext-based mapping of damaged buildings from high-resolution optical satellite images / T. Vu in International Journal of Remote Sensing IJRS, vol 31 n° 13 (July /2010)PermalinkDamage consequence chain mapping after the Wenchuan Earthquake using remotely sensed data / H. Guo in International Journal of Remote Sensing IJRS, vol 31 n° 13 (July /2010)PermalinkInsertion of 3-D-primitives in mesh-based representations: Towards compact models preserving the details / Florent Lafarge in IEEE Transactions on image processing, vol 19 n° 7 (July 2010)PermalinkKnowledge-based building reconstruction from terrestrial video sequences / Yuan Tian in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 4 (July - August 2010)PermalinkQuantifiying the building stock optical high-resolution satellite imagery for assessing disaster risk / D. Ehrlich in Geocarto international, vol 25 n° 4 (July 2010)PermalinkMinimum dispersion constrained nonnegative matrix factorization to unmix hyperspectral data / A. Huck in IEEE Transactions on geoscience and remote sensing, vol 48 n° 6 (June 2010)PermalinkPan-sharpening and geometric correction WorldView-2 satellite / Penggen Cheng in Geoinformatics, vol 13 n° 4 (01/06/2010)PermalinkSuperresolution enhancement of hyperspectral CHRIS/Proba images with a thin-plate spline nonrigid transform model / J. Chan in IEEE Transactions on geoscience and remote sensing, vol 48 n° 6 (June 2010)Permalink