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Multi-agent recognition system based on object based image analysis using WorldView-2 / Fatemeh Tabib Mahmoudi in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 2 (February 2014)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 2 (February 2014) . - pp 161 - 170 Titre : Multi-agent recognition system based on object based image analysis using WorldView-2 Type de document : Article/Communication Auteurs : Fatemeh Tabib Mahmoudi, Auteur ; Farhad Samadzadegan, Auteur ; Peter Reinartz, Auteur Année de publication : 2014 Article en page(s) : pp 161 - 170 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse d'image orientée objet [Termes IGN] classification à base de connaissances [Termes IGN] détection de régions [Termes IGN] image Worldview [Termes IGN] reconnaissance d'objets [Termes IGN] système multi-agents [Termes IGN] zone urbaine dense Résumé : (Auteur) In this paper, using spatial and spectral characteristics of the WorldView-2 satellite imagery, capabilities of multi-agent systems are used for solving multiple object recognition difficulties in complex urban areas. The methodology has two main steps: object based image analysis (OBIA) and multi-agent object recognition. In the first step, segmentation and multi-process object classification based on spectral, textura, and structural features are performed. Classified regions are used as an input dataset in the multi-agent system in order to modify object recognition results. According to the results from the object based image analysis process, using contextual relations and structural features, the overall accuracy and Kappa improved by 17.79 percent and 0.253, respectively. Using knowledge-based reasoning and cooperative capabilities of agents in the multi-agent system in this paper most of the remaining difficulties are decreased and values 90.95 percent and 0.876 are obtained for the overall accuracy and Kappa, respectively, of the object recognition results. Numéro de notice : A2014-109 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.2.161-170 En ligne : https://doi.org/10.14358/PERS.80.2.161-170 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33014 [article]

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Real-time object detection with sub-pixel accuracy using the level set method / F. Burkert in Photogrammetric record, vol 26 n° 134 (June - August 2011)  

Public [article]  inPhotogrammetric record > vol 26 n° 134 (June - August 2011) . - pp 154 - 170 Titre : Real-time object detection with sub-pixel accuracy using the level set method Type de document : Article/Communication Auteurs : F. Burkert, Auteur ; Matthias Butenuth, Auteur ; M. Ulrich, Auteur Année de publication : 2011 Article en page(s) : pp 154 - 170 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] classification à base de connaissances [Termes IGN] détection d'objet [Termes IGN] détection de contours [Termes IGN] niveau de gris (image) [Termes IGN] précision infrapixellaire [Termes IGN] reconnaissance d'objets [Termes IGN] temps réel Résumé : (Auteur) This paper presents a method for object detection with sub-pixel accuracy in digital images satisfying real-time applications. The method uses an approximation of the level-set-based contour evolution, which applies only integer operations in a fast two-cycle algorithm to achieve real-time performance. Level-set-based contour evolution forms a part of the geometric active contour process, which combines image data and a priori geometric knowledge of an object to be evolved over an image towards the object border. The algorithm avoids the solution of partial differential equations. Instead only integer operations are applied and the contour evolution is performed by using a two-cycle algorithm. The proposed method for object detection with sub-pixel accuracy refines the pixel-accurate result of the level-set-based contour evolution algorithm by using a fast parabolic fitting mechanism. Sub-pixel accuracy of the resulting object contours is achieved by adjusting every contour point towards the nearby maximum of the image gradient. Real-time performance can be provided because the adjustment is performed only once after the contour evolution. Experimental results with images from industry, photogrammetry, remote sensing and medicine show the functionality and applicability of this method to several fields of work. In addition, the experiments are evaluated by applying quality measures for the geometric accuracy and the run time. Numéro de notice : A2011-238 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2011.00633.x Date de publication en ligne : 06/06/2011 En ligne : https://doi.org/10.1111/j.1477-9730.2011.00633.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31016 [article]

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Unsing spatial continuity and discontinuity information to retrieve geographic entities / Z. Xie in Geocarto international, vol 24 n° 1 (February - March 2009)  

Public [article]  inGeocarto international > vol 24 n° 1 (February - March 2009) . - pp 3 - 23 Titre : Unsing spatial continuity and discontinuity information to retrieve geographic entities Type de document : Article/Communication Auteurs : Z. Xie, Auteur ; L. Bian, Auteur Année de publication : 2009 Article en page(s) : pp 3 - 23 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] détection de contours [Termes IGN] discontinuité [Termes IGN] objet géographique [Termes IGN] photographie aérienne [Termes IGN] photographie numérique [Termes IGN] reconnaissance d'objets [Termes IGN] variogramme Résumé : (Auteur) This paper presents three methods for representing spatial properties of geographic entity types in order to retrieve digital aerial photographs that contain these types. The three methods are semivariogram, edge tracing and an integration of the two methods. The first two methods are used to represent spatial continuity and spatial discontinuity information, respectively, associated with geographic entities, while the integrated method is used to represent both properties. The three methods are used to retrieve seven land cover types; factories, shopping centres, highways, forest, farmland, grasses and residential areas. Results show that between the two independent methods, the semivariogram method generally produces higher retrieval precision and more consistency across the seven types than the edge tracing method. The integrated method considerably outperforms the two independent methods. Copyright Taylor & Francis Numéro de notice : A2009-021 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040801995828 Date de publication en ligne : 27/07/2009 En ligne : https://doi.org/10.1080/10106040801995828 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29651 [article]

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Circular road sign extraction from street level images using colour, shape and texture database maps / Aurore Arlicot (2009)  

Public contenu dans CMRT09 Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)   Titre : Circular road sign extraction from street level images using colour, shape and texture database maps Type de document : Article/Communication Auteurs : Aurore Arlicot, Auteur ; Bahman Soheilian , Auteur ; Nicolas Paparoditis , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2009 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3-W4 Conférence : CMRT 2009, City Models, Roads and Traffic, Object extraction for 3D city models, road databases, traffic monitoring 03/09/2009 04/09/2009 Paris France OA ISPRS Archives Importance : pp 205 - 210 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] grande échelle [Termes IGN] modélisation 3D [Termes IGN] navigation automobile [Termes IGN] reconnaissance d'objets [Termes IGN] système de numérisation mobile Résumé : (Auteur) Detection and recognition of road signs can constitute useful tools in driving assistance and autonomous navigation systems. We aim at generating a road sign database that can be used for both georeferencing in autonomous vehicle navigation systems and also in high scale 3D city modelling. This paper proposes a robust algorithm that can detect road signs shape and recognizes their types. Numéro de notice : C2009-012 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/3-W4/pub/CMRT09_205.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65052

Proceedings of MVA 2009, IAPR Conference on Machine vision Applications, May 20-22, 2009, Keio University, Japan / Hideo Saito (2009)  

Public Titre : Proceedings of MVA 2009, IAPR Conference on Machine vision Applications, May 20-22, 2009, Keio University, Japan Type de document : Actes de congrès Auteurs : Hideo Saito, Éditeur scientifique Editeur : International Association for Pattern Recognition IAPR Année de publication : 2009 Conférence : MVA 2009, IAPR Conference on Machine Vision Applications 20/05/2009 22/05/2009 Yokohama Japon open access proceedings Importance : 527 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-4-901122-09-2 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] extraction de traits caractéristiques [Termes IGN] réalité virtuelle [Termes IGN] reconnaissance d'objets [Termes IGN] reconnaissance de formes [Termes IGN] surveillance [Termes IGN] système d'information géographique [Termes IGN] vision par ordinateur Numéro de notice : 19908 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Actes DOI : sans En ligne : https://dblp.uni-trier.de/db/conf/mva/mva2009.html Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86200

Contient

• Automatic GIS updating from high resolution satellite images / Nicolas Champion (22/05/2009)  
• Automatic gigapixel mosaïcing in large scale unstructured underground environments / Daniela Craciun (2009)    
• Extracting 3D polyhedral building models from aerial images using a featureless and direct approach / Fadi Dornaika (2009)  
• Face blurring for privacy in street-level geoviewers combining face, body and skin detectors / Alexandre Devaux (20/05/2009)  

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Dynamic vs. Static recognition of facial expressions / Bogdan Raducanu (2008)  

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Generalization of 3D building data based on a scale-space approach / A. Forberg in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 2 (June 2007)  

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Efficient facial expression recognition for human robot interaction / Fadi Dornaika (2007)  

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Image Analysis and Recognition, 4th International Conference, ICIAR 2007, Montreal, Canada, August 2007 / Mohamed Kamel (2007)  

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Automatic 3D object recognition and reconstruction based on neuro-fuzzy modelling / F. Samadzadegan in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 5 (August - October 2005)  

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Modelbasierte Segmentierung und Objekterkennung aus Distanzbildern / Jan Böhm (2005)  

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From mobile mapping to telegeoinformatics: paradigm shift in geospatial data acquisition, processing, and management / Dorota A. Grejner-Brzezinska in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 2 (February 2004)  

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Detecting building changes from multitemporal aerial stereopairs / Franck Jung in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 3-4 (January - June 2004)  

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Image Analysis and Recognition, International Conference, ICIAR 2004, Porto, Portugal, September-October 2004, Part 1. Proceedings / Aurélio Campilho (2004)  

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A cognitive pyramid for contextual classification of remote sensing images / E. Binaghi in IEEE Transactions on geoscience and remote sensing, vol 41 n° 12 (December 2003)  

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