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Image-based quality assessment of road databases / Markus Gerke in International journal of geographical information science IJGIS, vol 22 n° 8-9 (august 2008)
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Titre : Image-based quality assessment of road databases Type de document : Article/Communication Auteurs : Markus Gerke, Auteur ; Christian Heipke, Auteur Année de publication : 2008 Article en page(s) : pp 871 - 894 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] analyse de sensibilité
[Termes IGN] base de données routières
[Termes IGN] connexité (graphes)
[Termes IGN] évaluation des données
[Termes IGN] graphe
[Termes IGN] mise à jour de base de données
[Termes IGN] modèle sémantique de données
[Termes IGN] qualité des données
[Termes IGN] raisonnement spatial
[Termes IGN] relation topologique
[Termes IGN] traitement d'imageRésumé : (Auteur) In this paper, an approach to the automatic quality assessment of existing geo-spatial data is presented. The necessary reference information is derived automatically from up-to-date digital remotely sensed images using image analysis methods. The focus is on the quality assessment of roads as these are among the most frequently changing objects in the landscape. In contrast to existing approaches for quality control of road data, the data to be assessed and the objects extracted from the images are modelled and processed together. A geometric-topologic relationship model for the roads and their surroundings is defined. Context objects such as rows of trees support the quality assessment of road vector data as they may explain gaps in road extraction. The extraction and explicit incorporation of these objects in the assessment of a given road database give stronger support for or against its correctness. During the assessment existing relations between road objects from the database and extracted objects are compared to the modelled relations. The certainty measures of the objects are integrated into this comparison. Normally, more than one extracted object gives evidence for a road database object; therefore, a reasoning algorithm which combines evidence given by the extracted objects is used. If the majority of the total evidence argues for the database object and if a certain amount of this database object is covered by extracted objects, the database object is assumed to be correct, i.e. it is accepted, otherwise it is rejected. The procedure is embedded into a two-stage graph-based approach which exploits the connectivity of roads and results in a reduction of false alarms. The algorithms may be incorporated into a semi-automatic environment, where a human operator only checks those objects that have been rejected. The experimental results confirm the importance of the employed advanced statistical modelling. The overall approach can reliably assess the roads from the given database, using road and context objects which have been automatically extracted from remotely sensed imagery. Sensitivity analysis shows that in most cases the chosen two-stage graph-approach reduces the number of false decisions. Approximately 66% of the road objects have been accepted by the developed approach in an extended test area, 1% has been accepted though incorrect. Those false decisions are mainly related to the lack of modelling road junction areas. Copyright Taylor & Francis Numéro de notice : A2008-306 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810701703258 En ligne : https://doi.org/10.1080/13658810701703258 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29299
in International journal of geographical information science IJGIS > vol 22 n° 8-9 (august 2008) . - pp 871 - 894[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-08051 RAB Revue Centre de documentation En réserve L003 Disponible 079-08052 RAB Revue Centre de documentation En réserve L003 Disponible Integration of multitemporal/polarization C-band SAR data sets for land-cover classification / N. Park in International Journal of Remote Sensing IJRS, vol 29 n° 15-16 (August 2008)
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Titre : Integration of multitemporal/polarization C-band SAR data sets for land-cover classification Type de document : Article/Communication Auteurs : N. Park, Auteur ; K.H. Chi, Auteur Année de publication : 2008 Article en page(s) : pp 4667 - 4688 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse en composantes principales
[Termes IGN] angle d'incidence
[Termes IGN] bande C
[Termes IGN] carte agricole
[Termes IGN] image Envisat-ASAR
[Termes IGN] image radar
[Termes IGN] image Radarsat
[Termes IGN] intégration de données
[Termes IGN] occupation du sol
[Termes IGN] polarimétrie radarRésumé : (Auteur) This paper investigates the potential of multitemporal/polarization C-band SAR data for land-cover classification. Multitemporal Radarsat-1 data with HH polarization and ENVISAT ASAR data with VV polarization acquired in the Yedang plain, Korea are used for the classification of typical five land-cover classes in an agricultural area. The presented methodologies consist of two analytical stages: one for feature extraction and the other for classification based on the combination of features. Both a traditional SAR signal property analysis-based approach and principal-component analysis (PCA) are applied in the feature extraction stage. Special concerns are in the interpretation of each principal component by using principal-component loading. The tau model applied as a decision-level fusion methodology can provide a formal framework in which the posteriori probabilities derived from different sensor data can be combined. From the case study results, the combination of PCA-based features showed improved classification accuracy for both Radarsat-1 and ENVISAT ASAR data, as compared with the traditional SAR signal property analysis-based approach. The integration of PCA-based features based on multiple polarization (i.e. HH from Radarsat-1, and both VV and VH from ENVISAT ASAR) and different incidence angles contributed to a significant improvement of discrimination capability for dry fields which could not be properly classified by using only Radarsat-1 or ENVISAT ASAR data, and thus showed the best classification accuracy. The results of this case study indicate that the use of multiple polarization SAR data with a proper feature extraction stage would improve classification accuracy in multitemporal SAR data classification, although further consideration should be given to the polarization and incidence angle dependency of complex land-cover classes through more experiments. Numéro de notice : A2008-530 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160801947341 En ligne : https://doi.org/10.1080/01431160801947341 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29600
in International Journal of Remote Sensing IJRS > vol 29 n° 15-16 (August 2008) . - pp 4667 - 4688[article]Producing geo-historical context from implicit sources: a geovisual analytics approach / B. Tomaszewski in Cartographic journal (the), vol 45 n° 3 (August 2008)
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Titre : Producing geo-historical context from implicit sources: a geovisual analytics approach Type de document : Article/Communication Auteurs : B. Tomaszewski, Auteur Année de publication : 2008 Article en page(s) : pp 165 - 181 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] découverte de connaissances
[Termes IGN] gestion de crise
[Termes IGN] modèle conceptuel de données
[Termes IGN] prise en compte du contexte
[Termes IGN] recherche d'information géographiqueRésumé : (Auteur) Geo-historical context, or GHC, is a contextual setting based on the interconnectedness of phenomena, events, and place across multiple spatial and temporal scales. GHC allows for situations to be understood and reasoned with, often with aid of visual representations such as maps. This paper introduces a conceptual model of GHC that theoretically motivates a Geovisual Analytics application called the Context Discovery Application (CDA), which is also presented. The CDA is designed to aid in the production of geo-historical context by using computational processes to identify and extract potentially relevant context information from heterogeneous, implicit situation information. This information can then be explored through visual interfaces to help users explain and understand the information. A hypothetical humanitarian context analysis case study is used to show how the CDA can be applied to real world problems. Copyright British Cartographic Society Numéro de notice : A2008-273 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/000870408X311369 En ligne : https://doi.org/10.1179/000870408X311369 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29266
in Cartographic journal (the) > vol 45 n° 3 (August 2008) . - pp 165 - 181[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 030-08031 RAB Revue Centre de documentation En réserve L003 Disponible Accuracy assessment of high resolution satellite imagery orientation by leave-one-out method / Maria Antonia Brovelli in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 4 (July - August 2008)
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Titre : Accuracy assessment of high resolution satellite imagery orientation by leave-one-out method Type de document : Article/Communication Auteurs : Maria Antonia Brovelli, Auteur ; M. Crespi, Auteur ; F. Fratarcangeli, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 427 - 440 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] estimation de précision
[Termes IGN] image à haute résolution
[Termes IGN] image EROS
[Termes IGN] image Quickbird
[Termes IGN] orientation externe
[Termes IGN] OrthoEngine
[Termes IGN] point d'appui
[Termes IGN] point de vérification
[Termes IGN] précision des donnéesRésumé : (Auteur) Interest in high-resolution satellite imagery (HRSI) is spreading in several application fields, at both scientific and commercial levels. Fundamental and critical goals for the geometric use of this kind of imagery are their orientation and orthorectification, processes able to georeference the imagery and correct the geometric deformations they undergo during acquisition. In order to exploit the actual potentialities of orthorectified imagery in Geomatics applications, the definition of a methodology to assess the spatial accuracy achievable from oriented imagery is a crucial topic. In this paper we want to propose a new method for accuracy assessment based on the Leave-One-Out Cross-Validation (LOOCV), a model validation method already applied in different fields such as machine learning, bioinformatics and generally in any other field requiring an evaluation of the performance of a learning algorithm (e.g. in geostatistics), but never applied to HRSI orientation accuracy assessment. The proposed method exhibits interesting features which are able to overcome the most remarkable drawbacks involved by the commonly used method (Hold-Out Validation — HOV), based on the partitioning of the known ground points in two sets: the first is used in the orientation–orthorectification model (GCPs — Ground Control Points) and the second is used to validate the model itself (CPs — Check Points). In fact the HOV is generally not reliable and it is not applicable when a low number of ground points is available. To test the proposed method we implemented a new routine that performs the LOOCV in the software SISAR, developed by the Geodesy and Geomatics Team at the Sapienza University of Rome to perform the rigorous orientation of HRSI; this routine was tested on some EROS-A and QuickBird images. Moreover, these images were also oriented using the world recognized commercial software OrthoEngine v. 10 (included in the Geomatica suite by PCI), manually performing the LOOCV since only the HOV is implemented.
The software comparison guaranteed about the overall correctness and good performances of the SISAR model, whereas the results showed the good features of the LOOCV method. Copyright ISPRSNuméro de notice : A2008-325 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.01.006 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.01.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29318
in ISPRS Journal of photogrammetry and remote sensing > vol 63 n° 4 (July - August 2008) . - pp 427 - 440[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-08041 SL Revue Centre de documentation Revues en salle 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)
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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]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-08041 SL Revue Centre de documentation Revues en salle Disponible PermalinkLa commission de l'ACI sur les normes relatives aux données localisées / Dominique Laurent in Le monde des cartes, n° 196 (Juin 2008)
PermalinkA flexible multi-source spatial-data fusion system for environmental status assessment at continental scale / P. Carrara in International journal of geographical information science IJGIS, vol 22 n° 6-7 (june 2008)
PermalinkFramework for probabilistic geospatial ontologies / S. Sen in International journal of geographical information science IJGIS, vol 22 n° 6-7 (june 2008)
PermalinkFrom 2D to 3D land parcelation: fusion of LiDAR data and cadastral maps / S. Filin in SaLIS Surveying and land information science, vol 68 n° 2 (June 2008)
PermalinkGéoréférencer par delà les frontières, un nouveau défi du STIG [Système d'information du territoire Genèvois] / Laurent Niggeler in XYZ, n° 115 (juin - août 2008)
PermalinkGood-practice example of a German regional SDI as a component of the future INSPIRE framework / H. Mueller in SaLIS Surveying and land information science, vol 68 n° 2 (June 2008)
PermalinkIntegration of Hyperion satellite data and a household social survey to caracterize the causes and consequences of reforestation patterns in the Northern Ecuadorian Amazon / S.J. Walsh in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 6 (June 2008)
PermalinkPermalinkOn the accuracy assessment of celestial reference frame realizations / Z. Malkin in Journal of geodesy, vol 82 n° 6 (June 2008)
PermalinkPermalinkThe Canadian northern geospatial infrastructure / Paul Jolicoeur in Geomatica, vol 62 n° 2 (June 2008)
PermalinkComparison of nine fusion techniques for very high resolution data / K.G. Nikolapoulos in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 5 (May 2008)
PermalinkPermalinkPermalinkAssimilation of SPOT-Vegetation NDVI data into a Sahelian vegetation dynamics model / Lionel Jarlan in Remote sensing of environment, vol 112 n° 4 (15/04/2008)
PermalinkUse of a Kalman filter for the retrieval of surface BRDF coefficients with a time-evolving model based on the ECOCLIMAP land cover classification / O. Samain in Remote sensing of environment, vol 112 n° 4 (15/04/2008)
PermalinkPermalinkPermalinkStandards in practice, part 7: S-57 IHO Transfer Standard for digital hydrographic data / G. Spoelstra in Geoinformatics, vol 11 n° 3 (01/04/2008)
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