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Feature selection by genetic algorithms in object-based classification of Ikonos imagery for forest mapping in Flanders, Belgium / F.M.B. Van Coillie in Remote sensing of environment, vol 110 n° 4 (30/10/2007)
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[article]
Titre : Feature selection by genetic algorithms in object-based classification of Ikonos imagery for forest mapping in Flanders, Belgium Type de document : Article/Communication Auteurs : F.M.B. Van Coillie, Auteur ; L.P.C. Verbeke, Auteur ; R.R. DE Wulf, Auteur Année de publication : 2007 Conférence : ForestSat 2007, forests and remote sensing : methods and operational tools 05/11/2007 07/11/2007 Montpellier France Article en page(s) : pp 476 - 487 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] algorithme génétique
[Termes IGN] carte de la végétation
[Termes IGN] classification par réseau neuronal
[Termes IGN] détection d'objet
[Termes IGN] Flandre (Belgique)
[Termes IGN] forêt tempérée
[Termes IGN] image Ikonos
[Termes IGN] segmentation d'imageRésumé : (Auteur) Obtaining detailed information about the amount of forest cover is an important issue for governmental policy and forest management. This paper presents a new approach to update the Flemish Forest Map using IKONOS imagery. The proposed method is a three-step object-oriented classification routine that involves the integration of 1) image segmentation, 2) feature selection by Genetic Algorithms (GAs) and 3) joint Neural Network (NN) based object-classification. The added value of feature selection and neural network combination is investigated. Results show that, with GA-feature selection, the mean classification accuracy (in terms of Kappa Index of Agreement) is significantly higher (p Numéro de notice : A2007-412 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2007.03.020 En ligne : https://doi.org/10.1016/j.rse.2007.03.020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28775
in Remote sensing of environment > vol 110 n° 4 (30/10/2007) . - pp 476 - 487[article]Artificial neural network with backpropagation learning to predict mean monthly total ozone in Arosa, Switzerland / S. Chattopadhyay in International Journal of Remote Sensing IJRS, vol 28 n°19-20 (October 2007)
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[article]
Titre : Artificial neural network with backpropagation learning to predict mean monthly total ozone in Arosa, Switzerland Type de document : Article/Communication Auteurs : S. Chattopadhyay, Auteur ; G. Bandyopadhyay, Auteur Année de publication : 2007 Article en page(s) : pp 4471 - 4482 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse diachronique
[Termes IGN] apprentissage automatique
[Termes IGN] ozone
[Termes IGN] Perceptron multicouche
[Termes IGN] pollution atmosphérique
[Termes IGN] prédiction
[Termes IGN] réseau neuronal artificiel
[Termes IGN] SuisseRésumé : (Auteur) The present study deals with the mean monthly total ozone time series over Arosa, Switzerland. The study period is 1932-1971. First of all, the total ozone time series has been identified as a complex system and then Artificial Neural Network models in the form of Multilayer Perceptron with back propagation learning have been developed. The models are Single-hidden-layer and Two-hidden-layer Perceptrons with sigmoid activation function. After sequential learning with a learning rate of 0.9 the peak total ozone period (February-May) concentrations of mean monthly total ozone have been predicted by the two neural net models. After training and validation, both of the models are found to be skillful. But the Two-hidden-layer Perceptron is found to be more adroit in predicting the mean monthly total ozone concentrations over the aforesaid period. Copyright Taylor & Francis Numéro de notice : A2007-448 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160701250440 En ligne : https://doi.org/10.1080/01431160701250440 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28811
in International Journal of Remote Sensing IJRS > vol 28 n°19-20 (October 2007) . - pp 4471 - 4482[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-07111 RAB Revue Centre de documentation En réserve L003 Disponible Classified road detection from satellite images based on perceptual organization / J. Yang in International Journal of Remote Sensing IJRS, vol 28 n°19-20 (October 2007)
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Titre : Classified road detection from satellite images based on perceptual organization Type de document : Article/Communication Auteurs : J. Yang, Auteur ; R.S. Wang, Auteur Année de publication : 2007 Article en page(s) : pp 4653 - 4669 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] algorithme génétique
[Termes IGN] axe médian
[Termes IGN] classification automatique
[Termes IGN] extraction du réseau routier
[Termes IGN] image satellite
[Termes IGN] lissage de courbe
[Termes IGN] méthode heuristique
[Termes IGN] objet géographique
[Termes IGN] primitive géométriqueRésumé : (Auteur) Extracting roads from satellite images is an important task in both research and practice. This work presents an improved model for road detection based on the principles of perceptual organization and classification fusion in human vision system (HVS). The model consists of four levels: pixels, primitives, structures and objects, and two additional sub-processes: automatic classification of road scenes and global integration of multiform roads. Based on the model, a novel algorithm for detecting roads from satellite images is also proposed, in which two types of road primitives, namely blob-like primitive and line-like primitive are defined, measured, extracted and linked using different methods for dissimilar road scenes. A hierarchical search strategy driven by saliency measurement is adopted in both linking processes. The blob primitives are linked using heuristic grouping and the line primitives are connected through genetic algorithm (GA) evolution. Finally, all of the linked road segments are normalized with centre-main lines and integrated into global smooth road curves through tensor voting. Experimental results show that the algorithm is capable of detecting multiform roads from real satellite images with high adaptability and reliability. Copyright Taylor & Francis Numéro de notice : A2007-456 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160701250382 En ligne : https://doi.org/10.1080/01431160701250382 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28819
in International Journal of Remote Sensing IJRS > vol 28 n°19-20 (October 2007) . - pp 4653 - 4669[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-07111 RAB Revue Centre de documentation En réserve L003 Disponible Implementation of a low-cost photogrammetric methodology for 3D modelling of ceramic fragments / Mahzad Kalantari (01/10/2007)
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Titre : Implementation of a low-cost photogrammetric methodology for 3D modelling of ceramic fragments Type de document : Article/Communication Auteurs : Mahzad Kalantari , Auteur ; Michel Kasser
, Auteur
Editeur : Saint-Mandé : Institut Géographique National - IGN (2008-2011) Année de publication : 01/10/2007 Conférence : CIPA 2007, 21th international symposium, Anticipating the future of the cultural past 01/10/2007 06/10/2007 Athènes Grèce OA ISPRS Archives Importance : 4 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie terrestre
[Termes IGN] caméra numérique
[Termes IGN] géométrie épipolaire
[Termes IGN] matrice
[Termes IGN] modélisation 3D
[Termes IGN] photogrammétrie architecturale
[Termes IGN] semis de points
[Termes IGN] vision par ordinateurRésumé : (Auteur) A simple and cheap tool has been developed for measuring shards of old ceramics, found in archaeological yards. It is based on a digital camera, and various photogrammetric and computer vision freeware completed by home-made software developments. The paper presents the equipment used for the acquisition of the images, and the processing software for the various steps. This software is mainly based on algorithms originating from computer vision community, and from more classical photogrammetry. Some intermediate results are presented, the final output of the present work being a very dense cloud of points describing the geometry of the surface of the shard, that may be post processed by many off-the-shelf drawing commercial software, depending on the needs of the archaeologists. Numéro de notice : C2007-027 Affiliation des auteurs : ENSG (1941-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/5-C53/papers/FP079.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64307 Documents numériques
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Implementation of a low-cost photogrammetric ... - pdf auteurAdobe Acrobat PDFIntelligent map agents: an ubiquitous personalized GIS / E. Gervais in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 5 (October 2007)
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Titre : Intelligent map agents: an ubiquitous personalized GIS Type de document : Article/Communication Auteurs : E. Gervais, Auteur ; H. Liu, Auteur ; D. Nussbaumer, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 347 - 365 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] appareil portable
[Termes IGN] données localisées
[Termes IGN] échange de données informatisé
[Termes IGN] information géographique
[Termes IGN] interactivité
[Termes IGN] manipulation de données
[Termes IGN] système multi-agents
[Termes IGN] utilisateur nomadeRésumé : (Auteur) The Intelligent Map Agents (IMA) is an agent-based framework aimed at providing access to, and support for the manipulation of, spatial information. The IMA is designed as an open architecture that can accommodate a large number of mobile users and services possibly distributed across a wide geographical area. Today's users are mobile and are equipped with small powerful devices. Using wireless communication, these devices are/will be capable of exchanging digital data and voice from almost any location. In this paper, we present the IMA architecture which is aimed at replacing the monolithic approach to geographic information systems with a new dynamic, lean, and customizable system supporting spatially-oriented applications. We present this vision, describe the design of the IMA and discuss a sample application. Copyright ISPRS Numéro de notice : A2007-484 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.05.014 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.05.014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28847
in ISPRS Journal of photogrammetry and remote sensing > vol 62 n° 5 (October 2007) . - pp 347 - 365[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-07071 SL Revue Centre de documentation Revues en salle Disponible Multispectral image classification: a supervised neural computation approach based on rough-fuzzy membership function and weak fuzzy similarity relation / A. Agrawal in International Journal of Remote Sensing IJRS, vol 28 n°19-20 (October 2007)
PermalinkA rough set approach to the discovery of classification rules in spatial data / Yee Leung in International journal of geographical information science IJGIS, vol 21 n° 9-10 (october 2007)
PermalinkSpace-time opportunities for multiple agents: a constraint-based approach / T. Neutens in International journal of geographical information science IJGIS, vol 21 n° 9-10 (october 2007)
PermalinkTime geography for ad-hoc shared-ride trip planning in mobile geosensor networks / Martin Raubal in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 5 (October 2007)
PermalinkBrainy positioning: processing GPS data with neural networks / Rodrigo Figueiredo Leandro in GPS world, vol 18 n° 9 (September 2007)
PermalinkGeovisual analytics for decision support setting the research agenda / Gennady Adrienko in International journal of geographical information science IJGIS, vol 21 n° 8 (september 2007)
PermalinkHighlighting space-time patterns: effective visual encoding for interactive decision-making / Mike Sips in International journal of geographical information science IJGIS, vol 21 n° 8 (september 2007)
PermalinkMapping of environmental data using kernel-based methods / Mikhail Kanevski in Revue internationale de géomatique, vol 17 n° 3-4 (septembre 2007 – février 2008)
PermalinkTowards a framework for mining and analysing spatio-temporal datasets / Michela Bertolotto in International journal of geographical information science IJGIS, vol 21 n° 8 (september 2007)
PermalinkVisual analytics of spatial interaction patterns for pandemic decision support / D. Guo in International journal of geographical information science IJGIS, vol 21 n° 8 (september 2007)
PermalinkWeight-proportional space partitioning using adaptative Voronoi diagrams / R. Reitsma in Geoinformatica, vol 11 n° 3 (September - November 2007)
PermalinkMultitemporel fuzzy classification model based on class transition possibilities / G.L.A. Mota in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 3 (August 2007)
PermalinkRule-based classification of multi-temporal satellite imagery for habitat and agricultural land cover mapping / Robert Lucas in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 3 (August 2007)
PermalinkSpatio-temporal urban landscape change analysis using the Markov chain model and a modified genetic algorithm / J. Tang in International Journal of Remote Sensing IJRS, vol 28 n°15-16 (August 2007)
PermalinkEfficient detection of patterns in 2D trajectories of moving points / J. Gudmundsson in Geoinformatica, vol 11 n° 2 (June - August 2007)
PermalinkMécanismes rétroactifs de ségrégation entre une société urbaine et son espace / A. Ourednik in Revue internationale de géomatique, vol 17 n° 2 (juin – août 2007)
PermalinkObjets géographiques et simulation agent : entre thématique et méthodologie / Léna Sanders in Revue internationale de géomatique, vol 17 n° 2 (juin – août 2007)
PermalinkVers une simulation multi-agents de groupes d'individus pour modéliser les mobilités résidentielles intra-urbaines / J.G. Quijano in Revue internationale de géomatique, vol 17 n° 2 (juin – août 2007)
PermalinkSpatial-temporal specific neighbourhood rules for cellular automata land-use modelling / Stan Geertman in International journal of geographical information science IJGIS, vol 21 n° 5 (may 2007)
PermalinkDetecting man-made structures and changes in satellite imagery with a content-based information retrieval system built on Self-Organizing Maps / Matthieu Molinier in IEEE Transactions on geoscience and remote sensing, vol 45 n° 4 (April 2007)
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