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Comparison of computational intelligence based classification techniques for remotely sensed optical image classification / D. Stathakis in IEEE Transactions on geoscience and remote sensing, vol 44 n° 8 (August 2006)
[article]
Titre : Comparison of computational intelligence based classification techniques for remotely sensed optical image classification Type de document : Article/Communication Auteurs : D. Stathakis, Auteur ; A. Vasilakos, Auteur Année de publication : 2006 Article en page(s) : pp 2305 - 2318 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] analyse comparative
[Termes IGN] classification dirigée
[Termes IGN] classification floue
[Termes IGN] classification par algorithme génétique
[Termes IGN] classification par réseau neuronal
[Termes IGN] image optique
[Termes IGN] occupation du solRésumé : (Auteur) Several computational intelligence components, namely neural networks (NNs), fuzzy sets, and genetic algorithms (GAs), have been applied separately or in combination to the process of remotely sensed data classification. By applying computational intelligence, we expect increased accuracy through the use of NNs, optimal NN structure and parameter determination via GAs, and transparency using fuzzy sets is expected. This paper systematically reviews and compares several configurations in the particular context of remote sensing for land cover. In addition, some of the configurations used here, such as NEFCASS and CANFIS, have few previous applications in the field. A comparison of the configurations is achieved by testing the different methods with exactly the same case-study data. A thorough assessment of results is performed by constructing an accuracy matrix for each training and testing data set. The evaluation of different methods is not only based on accuracy but also on compactness, completeness, and consistency. The architecture, produced rule set, and training parameters for the specific classification task are presented. Some comments and directions for future work are given. Copyright IEEE Numéro de notice : A2006-397 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.872903 En ligne : https://doi.org/10.1109/TGRS.2006.872903 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28121
in IEEE Transactions on geoscience and remote sensing > vol 44 n° 8 (August 2006) . - pp 2305 - 2318[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-06081 RAB Revue Centre de documentation En réserve L003 Disponible Efficient regionalization techniques for socio-economic geographical units using minimum spanning trees / Renato Martins Assuncao in International journal of geographical information science IJGIS, vol 20 n° 7 (august 2006)
[article]
Titre : Efficient regionalization techniques for socio-economic geographical units using minimum spanning trees Type de document : Article/Communication Auteurs : Renato Martins Assuncao, Auteur ; M.C. Neves, Auteur ; G. Camara, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 797 - 811 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] algorithme STA
[Termes IGN] arbre (mathématique)
[Termes IGN] données socio-économiques
[Termes IGN] graphe
[Termes IGN] objet géographique
[Termes IGN] optimisation (mathématiques)
[Termes IGN] régionalisation (segmentation)Résumé : (Auteur) Regionalization is a classification procedure applied to spatial objects with an areal representation, which groups them into homogeneous contiguous regions. This paper presents an efficient method for regionalization. The first step creates a connectivity graph that captures the neighbourhood relationship between the spatial objects. The cost of each edge in the graph is inversely proportional to the similarity between the regions it joins. We summarize the neighbourhood structure by a minimum spanning tree (MST), which is a connected tree with no circuits. We partition the MST by successive removal of edges that link dissimilar regions. The result is the division of the spatial objects into connected regions that have maximum internal homogeneity. Since the MST partitioning problem is NP-hard, we propose a heuristic to speed up the tree partitioning significantly. Our results show that our proposed method combines performance and quality, and it is a good alternative to other regionalization methods found in the literature. Copyright Taylor & Francis. Numéro de notice : A2006-295 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810600665111 En ligne : https://doi.org/10.1080/13658810600665111 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28022
in International journal of geographical information science IJGIS > vol 20 n° 7 (august 2006) . - pp 797 - 811[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-06071 RAB Revue Centre de documentation En réserve L003 Disponible 079-06072 RAB Revue Centre de documentation En réserve L003 Disponible Error assessment in two lidar-derived TIN datasets / M.H. Peng in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 8 (August 2006)
[article]
Titre : Error assessment in two lidar-derived TIN datasets Type de document : Article/Communication Auteurs : M.H. Peng, Auteur ; T.Y. Shih, Auteur Année de publication : 2006 Article en page(s) : pp 933 - 947 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] canopée
[Termes IGN] classification dirigée
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] erreur de mesure
[Termes IGN] estimation statistique
[Termes IGN] modèle numérique de surface
[Termes IGN] occupation du sol
[Termes IGN] pente
[Termes IGN] point de vérification
[Termes IGN] précision des données
[Termes IGN] rugosité
[Termes IGN] rugosité du sol
[Termes IGN] semis de points
[Termes IGN] Triangulated Irregular Network
[Termes IGN] variabilité
[Termes IGN] végétationRésumé : (Auteur) An accuracy assessment of two lidar-derived elevation datasets was conducted in areas of rugged terrain (average slope 26.6°). Data from 906 ground checkpoints in various land-cover types were collected in situ as reference points. Analysis of the accuracy of lidar-derived elevation as a function of several factors including terrain slope, terrain aspect, and land-cover types was conducted. This paper attempts to characterize vegetation information derived from lidar data based on variables such as canopy volume, local roughness of point clouds, point spacing of lidar ground returns, and vegetation angle. This information was used to evaluate the accuracy of elevation as a function of vegetation type. The experimental results revealed that the accuracy of elevation was considerably correlated with five factors: terrain slope, vegetation angle, canopy volume, local roughness of point clouds, and point spacing of lidar ground returns. The results show a linear relationship between the elevation accuracy and the combination of vegetation angle and the point spacing of ground returns (r2 > 0.9). The combination of vegetation angle and point spacing of ground returns explains a significant amount of the variability in elevation accuracy. Elevation accuracy varied with different vegetation types. The elevation accuracy was also linearly correlated with the product of the point spacing of ground returns and the tangent of the slope (r2 = 0.9). A greater product value implies a greater elevation error. In addition, with regard to terrain aspect, one dense dataset with extra cross-flight data revealed a lesser impact of aspect on elevation accuracy. Copyright ASPRS Numéro de notice : A2006-312 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.72.8.933 En ligne : https://doi.org/10.14358/PERS.72.8.933 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28036
in Photogrammetric Engineering & Remote Sensing, PERS > vol 72 n° 8 (August 2006) . - pp 933 - 947[article]A first step towards a framework for presenting the location of confidential point data on maps: results of an empirical perceptual study / Michael Leitner in International journal of geographical information science IJGIS, vol 20 n° 7 (august 2006)
[article]
Titre : A first step towards a framework for presenting the location of confidential point data on maps: results of an empirical perceptual study Type de document : Article/Communication Auteurs : Michael Leitner, Auteur ; A. Curtis, Auteur Année de publication : 2006 Article en page(s) : pp 813 - 822 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie
[Termes IGN] conception cartographique
[Termes IGN] confidentialité
[Termes IGN] objet géographique ponctuel
[Termes IGN] perception
[Termes IGN] représentation cartographiqueRésumé : (Auteur) A common concern when working with health-related data is that national standard guidelines are designed to preserve individual statistical information, usually recorded as text or in a spreadsheet format (‘statistical confidentiality’), but lack appropriate rules for visualizing this information on maps (‘spatial confidentiality’). Privacy rules to protect spatial confidentiality become more and more important, as governmental agencies increasingly incorporate Geographic Information Systems (GIS) as a tool for collecting, storing, analysing, and disseminating spatial information. The purpose of this paper is to propose the first step of a general framework for presenting the location of confidential point data on maps using empirical perceptual research. The overall objective is to identify geographic masking methods that preserve both the confidentiality of individual locations, and at the same time the essential visual characteristics of the original point pattern. Copyright Taylor & Francis Numéro de notice : A2006-296 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810600711261 En ligne : https://doi.org/10.1080/13658810600711261 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28023
in International journal of geographical information science IJGIS > vol 20 n° 7 (august 2006) . - pp 813 - 822[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-06071 RAB Revue Centre de documentation En réserve L003 Disponible 079-06072 RAB Revue Centre de documentation En réserve L003 Disponible Land-cover mapping in the Brazilian amazon using SPOT-4 Vegetation data and machine learning classification methods / João M.B. Carreiras in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 8 (August 2006)
[article]
Titre : Land-cover mapping in the Brazilian amazon using SPOT-4 Vegetation data and machine learning classification methods Type de document : Article/Communication Auteurs : João M.B. Carreiras, Auteur ; J.M.C. Pereira, Auteur ; Y.E. Shimabukuro, Auteur Année de publication : 2006 Article en page(s) : pp 897 - 910 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse diachronique
[Termes IGN] apprentissage automatique
[Termes IGN] carte d'occupation du sol
[Termes IGN] cartographie numérique
[Termes IGN] classification ascendante hiérarchique
[Termes IGN] image SPOT-Végétation
[Termes IGN] Mato Grosso
[Termes IGN] occupation du solRésumé : (Auteur) The main objective of this study is to evaluate the feasibility of deriving a land-cover map of the state of Mato Grosso, Brazil, for the year 2000, using data from the 1 km SPOT-4 VEGETATION (VGT) sensor. For this purpose we used a VGT temporal series of 12 monthly composite images, which were further transformed to physical-meaningful fraction images of vegetation, soil, and shade. Classification of fraction images was implemented using several recent machine learning developments, namely, filtering input training data and probability bagging in a classification tree approach. A 10-fold cross validation accuracy assessment indicates that filtering and probability bagging are effective at increasing overall and class-specific accuracy. Overall accuracy and mean probability of class membership were 0.88 and 0.80, respectively. The map of probability of class membership indicates that the larger errors are associated with cerrado savonna and semi-deciduous forest. Copyright ASPRS Numéro de notice : A2006-313 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.72.8.897 En ligne : https://doi.org/10.14358/PERS.72.8.897 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28037
in Photogrammetric Engineering & Remote Sensing, PERS > vol 72 n° 8 (August 2006) . - pp 897 - 910[article]Quantifying spatial heterogeneity at the landscape scale using variogram models / S. Garrigues in Remote sensing of environment, vol 103 n° 1 (15 July 2006)PermalinkA complete classification of topological relations using the 9-intersection method / S. Li in International journal of geographical information science IJGIS, vol 20 n° 6 (july 2006)PermalinkEffect of generalization on area features: a comparative study of two strategies / T. Cheng in Cartographic journal (the), vol 43 n° 2 (July 2006)PermalinkIncorporating domain knowledge and spatial relationships into land cover classifications: a rule-based approach / A.E. Daniels in International Journal of Remote Sensing IJRS, vol 27 n°12-13-14 (July 2006)PermalinkPopulation landscape: a geometric approach to studying spatial patterns of the US urban hierarchy / L. Mu in International journal of geographical information science IJGIS, vol 20 n° 6 (july 2006)PermalinkUrban land-use classification using variogram-based analysis with an aerial photograph / S.S. Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 7 (July 2006)PermalinkConception collaborative d'objets géographiques / Patrice Caron in Revue internationale de géomatique, vol 16 n° 2 (juin – août 2006)PermalinkDeformation using agents for map generalization : application to the preservation of relationships between fields and objects / Julien Gaffuri (01/06/2006)PermalinkEvaluation of the potential of SAR ERS and ASAR Envisat sensors in multi-incidence and multi-polarisation modes for landscape study in French Guyana: examples of Kourou and Saint Laurent du Maroni / J.L. Kouame in Revue Française de Photogrammétrie et de Télédétection, n° 182 (Juin 2006)PermalinkL'observatoire des territoires, un outil au service de l'aménagement du territoire / K. Hurel in Le monde des cartes, n° 188 (juin - août 2006)PermalinkSubpixel analysis of Landsat ETM/sup +/ using self-organizing map (SOM) neural networks for urban land cover characterization / S. Lee in IEEE Transactions on geoscience and remote sensing, vol 44 n° 6 (June 2006)PermalinkToward quantitative measures for the semantic quality of polygon generalization / T. Cheng in Cartographica, vol 41 n° 2 (June 2006)PermalinkGéographes et assureurs face aux risques naturels / Françoise de Blomac in SIG la lettre, n° 77 (mai 2006)PermalinkPhotogrammètre en France aujourd'hui : espoirs et difficultés / Françoise de Blomac in SIG la lettre, n° 77 (mai 2006)PermalinkRelevance of hyperspectral data for natural resources management / T.V. Ramachandra in GIS development, vol 10 n° 4 (April 2006)PermalinkInterrelationships between spatial resolution and per-pixel classifiers for extracting information classes part 1: the urban environment / J.R. Jensen (29/03/2006)Permalink3D simulation of soft-objects / D.Y. Shen in International journal of geographical information science IJGIS, vol 20 n° 3 (march 2006)PermalinkAnalyse d'évolutions topographiques élémentaires pour le suivi de phénomènes géographiques / Patricia Bordin in Bulletin d'information scientifique et technique de l'IGN, n° 75 (mars 2006)PermalinkSegmentation multi-échelles d'images et applications / Laurent Guigues in Bulletin d'information scientifique et technique de l'IGN, n° 75 (mars 2006)PermalinkComparison of automated watershed delineations: effects on land cover areas, percentages, and relationships to nutrient discharges / M.E. Baker in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 2 (February 2006)PermalinkIncorporating remote sensing information in modelling house values: a regression tree approach / D. Yu in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 2 (February 2006)PermalinkAcquisition de connaissances pour la simulation en immersion (ACSI) / D. Sebastien (2006)PermalinkPermalinkCristage: A 3D GIS with a logical crystallographic layer to enable complex analyses / Benoit Poupeau (2006)PermalinkDiffusion et tatouage des données géographiques / Jean Béguec (2006)PermalinkL'environnement en France, édition 2006 / Bruno Trégouët (2006)PermalinkLa forêt / Marc Galochet (2006)PermalinkPermalinkPermalinkPermalinkPrincipes et mise en œuvre de PostGIS (1ère partie) / D. Faivre in Géomatique expert, n° 48 (01/01/2006)PermalinkSemi-automatic rural land cover classification from high-resolution remote sensing images = Classification semi-automatique du terrain en zone rurale par télédétection à haute résolution / Roger Trias-Sanz (2006)PermalinkShuttle Radar Topography Mission elevation data error and its relationship to land cover / A. Shortridge in Cartography and Geographic Information Science, vol 33 n° 1 (January 2006)PermalinkA supervised classification approach towards quality self-diagnosis of 3D building models using digital aerial imagery / Laurence Boudet (2006)PermalinkExtraction semi-automatique de bâtiments par contours actifs surfaciques : adaptation au contexte Pléiades / P. Cornic in Revue Française de Photogrammétrie et de Télédétection, n° 180 (Décembre 2005)PermalinkUne gestion satellitale des vignobles / M. Mayo in Géomètre, n° 2021 (décembre 2005)PermalinkMapping impervious surface type and sub-pixel abundance using Hyperion hyperspectral imagery / J. Falcone in Geocarto international, vol 20 n° 4 (December 2005 - February 2006)PermalinkUtilisation des signatures de texture d'ordre elevé pour une meilleure discrimination des classes d'occupation du sol sur une image radar à synthese d'ouverture / E. Tonye in Revue Française de Photogrammétrie et de Télédétection, n° 179 (Décembre 2005)PermalinkCanopy directional emissivity: comparison between models / J.A. Sobrino in Remote sensing of environment, vol 99 n° 3 (30/11/2005)PermalinkQuantitative classification as a tool to show change in an urbanizing watershed / W.B. Clapham in International Journal of Remote Sensing IJRS, vol 26 n° 22 (November 2005)PermalinkAssessment of ASTER land cover and MODIS data at multiple scales for ecological characterization of an arid urban center / W.L. Stefanov in Remote sensing of environment, vol 99 n° 1-2 (15 November 2005)PermalinkAménagement et développement rural dans le bas Loukkos (Maroc) : suivi et évaluation à l'aide de la télédetection et des SIG / R. Ragala in Photo interprétation, vol 41 n° 4 (Novembre 2005)PermalinkA combinatorial data model for representing topological relations among 3D geographical features in micro-spatial environments / J. Lee in International journal of geographical information science IJGIS, vol 19 n° 10 (november 2005)PermalinkDynamique urbaine et télédétection : le choix de l'indicateur végétal, les cas de Montréal, Paris et Pékin / I. Biraud-Burot in Photo interprétation, vol 41 n° 4 (Novembre 2005)PermalinkGIS-based route planning in landslide-prone areas / A.K. Saha in International journal of geographical information science IJGIS, vol 19 n° 10 (november 2005)Permalink