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Simulating complex adaptative geographic systems: a geographically aware intelligent agent approach / W. Tang in Cartography and Geographic Information Science, vol 35 n° 4 (October 2008)
[article]
Titre : Simulating complex adaptative geographic systems: a geographically aware intelligent agent approach Type de document : Article/Communication Auteurs : W. Tang, Auteur Année de publication : 2008 Article en page(s) : pp 239 - 263 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] agent (intelligence artificielle)
[Termes IGN] apprentissage automatique
[Termes IGN] classe d'objets
[Termes IGN] classification à base de connaissances
[Termes IGN] conception orientée objet
[Termes IGN] modèle de simulation
[Termes IGN] système d'information géographique
[Termes IGN] système multi-agentsRésumé : (Auteur) The objective of this paper is to present a spatially explicit agent-based simulation framework with a supporting software package to explore complex adaptive geographic systems. This framework is particularly suitable for modeling entities that are contextually aware, knowledge driven, and adaptive because it represents them as geographically aware intelligent agents. Fundamental advances in the explicit representation of contextual information, knowledge structures, and learning processes are needed for modeling intelligent agents situated within geographic systems. The representation of these agents requires the integration of agent-based models, machine learning, and GIS. Existing software packages for agent-based modeling, however, often provide insufficient support for this integration. The agent-based simulation package presented here is specifically designed to achieve such integration by assisting the development of agent-based models from the simulation framework. Object-oriented modeling techniques were used to implement this simulation package, which includes four modules: simulation, visualization, learning, and geoprocessing. In particular, the learning and geoprocessing modules facilitate the representation of adaptive behavior in agents within spatially explicit environments. The utility of the agent-based simulation package is illustrated using two simulation models: one of adaptive elk behavior and another of pedestrian movement. The successful design of the simulation models suggests that the modeling framework with the supporting software package is well suited to the resolution of complex adaptive geographic problems. Copyright CaGISociety Numéro de notice : A2008-438 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1559/152304008786140551 En ligne : https://doi.org/10.1559/152304008786140551 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29507
in Cartography and Geographic Information Science > vol 35 n° 4 (October 2008) . - pp 239 - 263[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-08041 RAB Revue Centre de documentation En réserve L003 Disponible A wavelet based technique for sea wind extraction from SAR images / S. Zecchetto in IEEE Transactions on geoscience and remote sensing, vol 46 n° 10 Tome 1 (October 2008)
[article]
Titre : A wavelet based technique for sea wind extraction from SAR images Type de document : Article/Communication Auteurs : S. Zecchetto, Auteur ; F. De Biasio, Auteur Année de publication : 2008 Conférence : IGARSS 2007, International Geoscience And Remote Sensing Symposium, sensing and understanding our planet 23/07/2007 27/07/2007 Barcelone Espagne Proceedings IEEE Article en page(s) : pp 2983 - 2989 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] diffusométrie
[Termes IGN] image Envisat-ASAR
[Termes IGN] image ERS-SAR
[Termes IGN] Méditerranée, mer
[Termes IGN] surface de la mer
[Termes IGN] transformation en ondelettes
[Termes IGN] valeur radiométrique
[Termes IGN] vent
[Termes IGN] vitesseRésumé : (Auteur) We present the follow-up of our previously published work, where we described a wavelet-based method to characterize the sea surface backscatter structures in Synthetic Aperture Radar (SAR) images. The method relies on the ability of the 2-D continuous wavelet technique to detect the spatial structure of the Marine Atmospheric Boundary Layer (MABL) and to isolate wind-related cells and features. The analysis of the cells' geometry, molded by the radiometric characteristics of the sea surface, permits the identification of the wind direction inside the cells, due to the along-wind asymmetry of backscatter structures, and thus the computation of the wind speed through standard algorithms. Twenty-one SAR images (ERS-2 and Envisat ASAR Wide Swath) over the Mediterranean Sea have been analyzed, and the results are compared with satellite wind fields. The images cover a range of meteorological conditions from low to moderate winds. Comparison of the SAR-derived wind fields with those provided by satellite scatterometers indicates a good score of success (roughly 70%-80%). The developed methodology, once tested over an adequate number of images to derive statistically reliable results, could be routinely used to enrich SAR images with the wind field as well as to characterize the MABL in terms of size, distribution, and shape of the backscatter cells. Copyright IEEE Numéro de notice : A2008-538 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2008.920967 En ligne : https://doi.org/10.1109/TGRS.2008.920967 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29608
in IEEE Transactions on geoscience and remote sensing > vol 46 n° 10 Tome 1 (October 2008) . - pp 2983 - 2989[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-08101A RAB Revue Centre de documentation En réserve L003 Disponible Semi-automatic extraction of 3D lines using a scalable edge model and least-squares template matching / Xiangyun Hu in Geomatica, vol 62 n° 3 (September 2008)
[article]
Titre : Semi-automatic extraction of 3D lines using a scalable edge model and least-squares template matching Type de document : Article/Communication Auteurs : Xiangyun Hu, Auteur ; Z. Zhang, Auteur ; J. Li, Auteur Année de publication : 2008 Article en page(s) : pp 277 - 285 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] couple stéréoscopique
[Termes IGN] détection de contours
[Termes IGN] détection du bâti
[Termes IGN] extraction semi-automatique
[Termes IGN] fonction spline
[Termes IGN] méthode des moindres carrés
[Termes IGN] objet géographique linéaireRésumé : (Auteur) L'extraction d'éléments géospatiaux à partir d'images obtenues par télédétection demeure la principale façon de créer ou de mettre à jour des bases de données géospatiales, en particulier pour les régions urbaines complexes qui changent souvent et rapidement. Cet article présente un nouveau modèle de contours adaptables pour rectifier les lignes droites et les courbes splines en objets spatiaux tridimensionnels (3D). Il peut être utilisé pour extraire les éléments linéaires et les bâtiments avec exactitude à l'aide d'un couple stéréo d'images aériennes. On utilise la méthode des moindres carrés pour rectifier itérativement une ligne initiale déplacée dans sa position 3D exacte. La procédure d'ajustement est intégrée à un modèle de profils de contours en pente adaptables et à un processus de production de gabarit adaptatif, qui peuvent être utilisés pour localiser la position du contour à l'aide de la fonction " croisement zéro " du modèle. Les résultats des expériences effectuées avec des couples d'images numériques et des couples stéréoscopiques de véritables photos aériennes démontrent que cette approche est efficace et possède un avantage potentiel. Copyright Geomatica Numéro de notice : A2008-448 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.5623/geomat-2008-0032 En ligne : https://cdnsciencepub.com/doi/abs/10.5623/geomat-2008-0032 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29517
in Geomatica > vol 62 n° 3 (September 2008) . - pp 277 - 285[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 035-08031 RAB Revue Centre de documentation En réserve L003 Disponible A framework of region-based spatial relations for non-overlapping features and its application in object based image analysis / Y. Liu in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 4 (July - August 2008)
[article]
Titre : A framework of region-based spatial relations for non-overlapping features and its application in object based image analysis Type de document : Article/Communication Auteurs : Y. Liu, Auteur ; Q. Guo, Auteur ; M. Kelly, Auteur Année de publication : 2008 Article en page(s) : pp 461 - 475 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse d'image numérique
[Termes IGN] classification automatique d'objets
[Termes IGN] exhaustivité des données
[Termes IGN] extraction du réseau routier
[Termes IGN] image à haute résolution
[Termes IGN] objet géographique zonal
[Termes IGN] objet mobile
[Termes IGN] prise en compte du contexte
[Termes IGN] relation topologique
[Termes IGN] segmentation d'imageRésumé : (Auteur) Object based image analysis (OBIA) is an approach increasingly used in classifying high spatial resolution remote sensing images. Object based image classifiers first segment an image into objects (or image segments), and then classify these objects based on their attributes and spatial relations. Numerous algorithms exist for the first step of the OBIA process, i.e. image segmentation. However, less research has been conducted on the object classification part of OBIA, in particular the spatial relations between objects that are commonly used to construct rules for classifying image objects and refining classification results. In this paper, we establish a context where objects are areal (not points or lines) and non-overlapping (we call this “single-valued” space), and propose a framework of binary spatial relations between segmented objects to aid in object classification. In this framework, scale-dependent “line-like objects” and “point-like objects” are identified from areal objects based on their shapes. Generally, disjoint and meet are the only two possible topological relations between two non-overlapping areal objects. However, a number of quasi- topological relations can be defined when the shapes of the objects involved are considered. Some of these relations are fuzzy and thus quantitatively defined. In addition, we define the concepts of line-like objects (e.g. roads) and point-like objects (e.g. wells), and develop the relations between two line-like objects or two point-like objects. For completeness, cardinal direction relations and distance relations are also introduced in the proposed context. Finally, we implement the framework to extract roads and moving vehicles from an aerial photo. The promising results suggest that our methods can be a valuable tool in defining rules for object based image analysis. Copyright ISPRS Numéro de notice : A2008-327 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.01.007 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.01.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29320
in ISPRS Journal of photogrammetry and remote sensing > vol 63 n° 4 (July - August 2008) . - pp 461 - 475[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-08041 SL Revue Centre de documentation Revues en salle Disponible Land cover classification of the North China Plain using MODIS-EVI time series / Z. Xia in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 4 (July - August 2008)
[article]
Titre : Land cover classification of the North China Plain using MODIS-EVI time series Type de document : Article/Communication Auteurs : Z. Xia, Auteur ; S. Rui, Auteur ; Z. Bing, Auteur ; T. Quingxi, Auteur Année de publication : 2008 Article en page(s) : pp 476 - 484 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse de groupement
[Termes IGN] analyse harmonique
[Termes IGN] carte d'occupation du sol
[Termes IGN] Chine
[Termes IGN] classification ISODATA
[Termes IGN] image Terra-MODIS
[Termes IGN] série temporelleRésumé : (Auteur) Moderate Resolution Imaging Spectroradiometer (MODIS) data have played an important role in global environmental and resource research. However, its low spatial resolution has been an impediment to researchers pursuing more accurate classification results. In this research, the high temporal resolution of MODIS was employed to improve the accuracy of land cover classification of the North China Plain using MODIS_EVI time series from 2003. Harmonic Analysis of Time Series (HANTS) was performed on the MODIS_EVI image time series to reduce cloud and other noise effects. The improved MODIS_EVI time series was then classified into 100 clusters by the Iterative Self-Organizing Data Analysis Technique (ISODATA). To distinguish ambiguous land cover classes, a decision tree was built on five phenological features derived from EVI profiles, Land Surface Temperature (LST) and topographic slope. The overall accuracy of the final land cover map was 75.5%, indicating the promise of using MODIS EVI time series and decision trees for broad area land cover classification. Numéro de notice : A2008-328 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.02.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.02.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29321
in ISPRS Journal of photogrammetry and remote sensing > vol 63 n° 4 (July - August 2008) . - pp 476 - 484[article]Réservation
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