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Titre : Advances in spatial data handling and GIS : 14th international symposium on spatial data handling Type de document : Actes de congrès Auteurs : Wenzhong Shi, Éditeur scientifique ; Anthony G.O. Yeh, Éditeur scientifique ; Yee Leung, Éditeur scientifique ; Chenghu Zhou, Éditeur scientifique Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2012 Collection : Lecture notes in Geoinformation and Cartography, ISSN 1863-2246 Conférence : SDH 2010, 14th International Symposium on Spatial Data Handling, joint conference with ISPRS 26/05/2010 28/05/2010 Hong-Kong Hong-Kong Proceedings Springer Importance : 239 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-642-25925-8 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] analyse spatiale
[Termes IGN] détection du bâti
[Termes IGN] données localisées
[Termes IGN] données spatiotemporelles
[Termes IGN] érosion
[Termes IGN] exploration de données géographiques
[Termes IGN] extraction automatique
[Termes IGN] généralisation
[Termes IGN] indexation spatiale
[Termes IGN] modélisation spatio-temporelle
[Termes IGN] reconnaissance de formes
[Termes IGN] risque environnemental
[Termes IGN] service fondé sur la position
[Termes IGN] système d'information géographique
[Termes IGN] variogrammeRésumé : (Editeur) This book provides a cross-section of cutting-edge research areas being pursued by researchers in spatial data handling and geographic information science (GIS). It presents selected papers on the advancement of spatial data handling and GIS in digital cartography, geospatial data integration, geospatial database and data infrastructures, geospatial data modeling, GIS for sustainable development, the interoperability of heterogeneous spatial data systems, location-based services, spatial knowledge discovery and data mining, spatial decision support systems, spatial data structures and algorithms, spatial statistics, spatial data quality and uncertainty, the visualization of spatial data, and web and wireless applications in GIS. Note de contenu : Part 1 - Modeling Space and Time
1. Deriving Space-Time Variograms from Space-Time Autoregressive (STAR) Model Specifications
(Daniel A. Griffith and Gerard B.M. Heuvelink)
Part 2 - Spatial Analysis and Mining
2. Sampling Survey of Heavy Metal in Soil Using SSSI (Aihua Ma, Jinfeng Wang, and Keli Zhang)
3. An Optimised Cellular Automata Model Based on Adaptive Genetic Algorithm for Urban Growth Simulation (Yongjiu Feng and Yan Liu)
4. Exploratory Spatial Data Analysis of Regional Economic Disparities in Beijing During 2001–2007
(Xiaoyi Ma and Tao Pei)
5. An Approach to Discovering Spatial–Temporal Patterns in Geographical Processes (Siyue Chai, Fenzhen Su, and Weiling Ma)
Part 3 - Generalization and Indexing
6. Normalizing Spatial Information to Improve Geographical Information Indexing and Retrieval in Digital Libraries (Damien Palacio, Christian Sallaberry, and Mauro Gaio)
7. Explore Multivariable Spatio-Temporal Data with the Time Wave: Case Study on Meteorological Data (Xia Li and Menno-Jan Kraak)
8. Characterization and Detection of Building Patterns in Cartographic Data: Two Algorithms (Xiang Zhang, Tinghua Ai, and Jantien Stoter)
9. Formalization and Data Enrichment for Automated Evaluation of Building Pattern Preservation
(Xiang Zhang, Jantien Stoter, Tinghua Ai, and Menno-Jan Kraak)
Part 4 - Pattern Recognition and Object Extraction
10. Graph Based Recognition of Grid Pattern in Street Networks
Jing Tian, Tinghua Ai, and Xiaobin Jia
11. Digital Image Processing for Spatial Object Recognition via Integration of Nonlinear Wavelet-Based Denoising and Clustering-Based Segmentation (Zhengmao Ye and Habib Mohamadian)
12. CCSSM: A Toolkit for Information Extraction from Remotely Sensed Imagery (Yong Ge, Chi Zhang, and Hexiang Ba)
Part 5 - Location-Based Service
13. Evaluation of Automatically Extracted Landmarks for Future Driver Assistance Systems (Claus Brenner and Sabine Hofmann)
14. Temporally Adaptive A* Algorithm on Time-Dependent Transportation Network (Nianbo Zheng and Feng Lu)
15. Evaluation of Online Itinerary Planner and Investigation of Possible Enhancement Features
(Homing Tam and L.S.C. Pun-Cheng)
Part 6 - Application of GIS and Remote Sensing
16. A Decision Support Framework for the Risk Assessment of Coastal Erosion in the Yangtze Delta
(Xing Li, Yunxuan Zhou, Fang Shen, Runyuan Kuang, Wen Wu, and Zongsheng Zheng)
17. Estimating Ice Thickness in South Georgia from SRTM Elevation Data (A. Paul R. Cooper, James W. Tate, and Alison J. Cook)Numéro de notice : 20993 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Actes DOI : 10.1007/978-3-642-25926-5 En ligne : http://dx.doi.org/10.1007/978-3-642-25926-5 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=34956 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 20993-01 CG2010 Livre Centre de documentation Congrès Disponible
Titre : Bisociative knowledge discovery : an introduction to concept, algorithms, tools, and applications Type de document : Monographie Auteurs : Michael R. Berthold, Éditeur scientifique Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2012 Collection : Lecture notes in Computer Science, ISSN 0302-9743 num. 7250 Importance : 484 p. ISBN/ISSN/EAN : 978-3-642-31830-6 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Informatique
[Termes IGN] découverte de connaissances
[Termes IGN] exploration de données
[Termes IGN] outil de découverte de connaissances
[Termes IGN] reconnaissance de formes
[Termes IGN] réseau informatique
[Termes IGN] système d'informationRésumé : (Auteur) Modern knowledge discovery methods enable users to discover complex patterns of various types in large information repositories. However, the underlying assumption has always been that the data to which the methods are applied to originates from one domain. The focus of this book, and the BISON project from which the contributions are originating, is a network based integration of various types of data repositories and the development of new ways to analyse and explore the resulting gigantic information networks. Instead of finding well defined global or local patterns they wanted to find domain bridging associations which are, by definition, not well defined since they will be especially interesting if they are sparse and have not been encountered before. The 32 contributions presented in this state-of-the-art volume together with a detailed introduction to the book are organized in topical sections on bisociation; representation and network creation; network analysis; exploration; and applications and evaluation. Note de contenu : Part 1: Bisociation
Part 2: Representation and Network Creation
Part 3: Network Analysis
Part 4: Exploration
Part 5: Applications and EvaluationNuméro de notice : 22735 Affiliation des auteurs : non IGN Autre URL associée : vers Springer Thématique : INFORMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.1007/978-3-642-31830-6 En ligne : https://directory.doabooks.org/handle/20.500.12854/32977 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85571 Documents numériques
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22735_Bisociative knowledge discoveryAdobe Acrobat PDF vol 66 n° 6 supplement - December 2011 - Commercial supplement issue : Advances in LIDAR data processing and applications (Bulletin de ISPRS Journal of photogrammetry and remote sensing) / Frédéric Bretar
[n° ou bulletin]
est un bulletin de ISPRS Journal of photogrammetry and remote sensing / International society for photogrammetry and remote sensing (1980 -) (1990 -)
Titre : vol 66 n° 6 supplement - December 2011 - Commercial supplement issue : Advances in LIDAR data processing and applications Type de document : Périodique Auteurs : Frédéric Bretar, Éditeur scientifique ; W. Wagner, Éditeur scientifique ; International society for photogrammetry and remote sensing (1980 -), Auteur ; Nicolas Paparoditis , Éditeur scientifique Année de publication : 2011 Importance : 104 p. Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] fusion d'images
[Termes IGN] lasergrammétrie
[Termes IGN] reconnaissance de formes
[Termes IGN] zone urbaineNuméro de notice : 081-201107 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Numéro de périodique En ligne : https://doi.org/10.1016/j.isprsjprs.2011.01.009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=13749 [n° ou bulletin]Contient
- Extracting roads from dense point clouds in large scale urban environment / A. Boyko in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
- Automatic roof model reconstruction from ALS data and 2D ground plans based on side projection and the TMR [TIN-Merging and Reshaping] algorithm / J. Rau in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
- Recognizing basic structures from mobile laser scanning data for road inventory studies / Shi Pu in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
- Data fusion of extremely high resolution aerial imagery and LiDAR data for automated railroad centre line reconstruction / R. Beger in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
- Fusion of camera images and laser scans for wide baseline 3D scene alignment in urban environments / Michael Ying Yang in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
- Fast and automatic image-based registration of TLS data / M. Weimann in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
- Relevance assessment of full-waveform lidar data for urban area classification / Clément Mallet in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
- Testing a near-infrared Lidar mounted with a large incidence angle to monitor the water level of turbid reservoirs / S. Tamari in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
- Potential of an ultraviolet, medium-footprint lidar prototype for retrieving forest structure / Tristan Allouis in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
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Code-barres Cote Support Localisation Section Disponibilité 081-2011071 SL Revue Centre de documentation Revues en salle Disponible Recognizing basic structures from mobile laser scanning data for road inventory studies / Shi Pu in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
[article]
Titre : Recognizing basic structures from mobile laser scanning data for road inventory studies Type de document : Article/Communication Auteurs : Shi Pu, Auteur ; Martin Rutzinger, Auteur ; M. George Vosselman, Auteur ; Sander J. Oude Elberink, Auteur Année de publication : 2011 Article en page(s) : pp 28 - 39 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] classification ascendante hiérarchique
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] reconnaissance de formes
[Termes IGN] réseau routier
[Termes IGN] semis de points
[Termes IGN] zone urbaine denseRésumé : (Auteur) Road safety inspection is currently carried out by time-consuming visual inspection. The latest mobile mapping systems provide an efficient technique for acquiring very dense point clouds along road corridors, so that automated procedures for recognizing and extracting structures can be developed. This paper presents a framework for structure recognition from mobile laser scanned point clouds. It starts with an initial rough classification into three larger categories: ground surface, objects on ground, and objects off ground. Based on a collection of characteristics of point cloud segments like size, shape, orientation and topological relationships, the objects on ground are assigned to more detailed classes such as traffic signs, trees, building walls and barriers. Two mobile laser scanning data sets acquired by different systems are tested with the recognition methods. Performance analyses of the test results are provided to demonstrate the applicability and limits of the methods. While poles are recognized for up to 86%, classification into further categories requires further work and integration with imagery. Numéro de notice : A2011-516 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.08.006 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.08.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31410
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 6 supplement (December 2011) . - pp 28 - 39[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2011071 SL Revue Centre de documentation Revues en salle Disponible 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)
[article]
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 réelRésumé : (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
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Code-barres Cote Support Localisation Section Disponibilité 106-2011021 RAB Revue Centre de documentation En réserve L003 Disponible L'image aérienne proche infrarouge : une information essentielle pour l'étude et la cartographie de la végétation / Jean Guy Boureau in Rendez-vous techniques, n° 31 (hiver 2011)PermalinkStochastic Geometry for Image Analysis, ch 9. Some applications to image processing: pattern recognition / shape recognition / Florent Lafarge (2011)PermalinkUsing aerial imagery and GIS in automated building footprint extraction and shape recognition for earthquake risk assessment of urban inventories / L. Sahar in IEEE Transactions on geoscience and remote sensing, vol 48 n° 9 (September 2010)PermalinkAmélioration d'une base de données d'empreintes de bâtiments pour la reconstruction 3D : une approche par découpe et fusion / Bruno Vallet (2010)PermalinkObject-based image analysis / E.A. Addink in GIM international, vol 24 n° 1 (January 2010)PermalinkRapid mapping of high resolution SAR scenes / F. Dell'acqua in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 5 (September - October 2009)PermalinkUnsing spatial continuity and discontinuity information to retrieve geographic entities / Z. Xie in Geocarto international, vol 24 n° 1 (February - March 2009)PermalinkCircular road sign extraction from street level images using colour, shape and texture database maps / Aurore Arlicot (2009)PermalinkProceedings of MVA 2009, IAPR Conference on Machine vision Applications, May 20-22, 2009, Keio University, Japan / Hideo Saito (2009)PermalinkModélisation de la végétation en milieu urbain : détection et caractérisation à partir d'images aériennes haute résolution couleur et infra-rouge / Corina Iovan in Revue Française de Photogrammétrie et de Télédétection, n° 189 (Mars 2008)Permalink