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Auteur Martien Molenaar |
Documents disponibles écrits par cet auteur (15)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externesBuilding pattern recognition in topographic data: examples on collinear and curvilinear alignments / Xiang Zhang in Geoinformatica, vol 17 n° 1 (January 2013)
Titre : Building pattern recognition in topographic data: examples on collinear and curvilinear alignments Type de document : Article/Communication Auteurs : Xiang Zhang, Auteur ; Tinghua Ai, Auteur ; Jantien E. Stoter, Auteur ; Menno-Jan Kraak, Auteur ; Martien Molenaar, Auteur Année de publication : 2013 Article en page(s) : pp 1 - 33 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] alignement
[Termes IGN] colinéarité
[Termes IGN] détection du bâti
[Termes IGN] données topographiques
[Termes IGN] enrichissement sémantique
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] géomètrie algorithmique
[Termes IGN] géométrie euclidienne
[Termes IGN] géométrie vectorielle
[Termes IGN] reconnaissance de formes
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) Building patterns are important features that should be preserved in the map generalization process. However, the patterns are not explicitly accessible to automated systems. This paper proposes a framework and several algorithms that automatically recognize building patterns from topographic data, with a focus on collinear and curvilinear alignments. For both patterns two algorithms are developed, which are able to recognize alignment-of-center and alignment-of-side patterns. The presented approach integrates aspects of computational geometry, graph-theoretic concepts and theories of visual perception. Although the individual algorithms for collinear and curvilinear patterns show great potential for each type of the patterns, the recognized patterns are neither complete nor of enough good quality. We therefore advocate the use of a multi-algorithm paradigm, where a mechanism is proposed to combine results from different algorithms to improve the recognition quality. The potential of our method is demonstrated by an application of the framework to several real topographic datasets. The quality of the recognition results are validated in an expert survey. Numéro de notice : A2013-045 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1007/s10707-011-0146-3 En ligne : https://doi.org/10.1007/s10707-011-0146-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32183
in Geoinformatica > vol 17 n° 1 (January 2013) . - pp 1 - 33[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 057-2013011 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Good governance, good geo-info Type de document : Article/Communication Auteurs : Martien Molenaar, Auteur Année de publication : 2006 Article en page(s) : pp 19 - 23 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] Google Earth
[Termes IGN] information géographique numérique
[Termes IGN] infrastructure nationale des données localisées
[Termes IGN] outil d'aide à la décision
[Termes IGN] positionnement par GPS
[Termes IGN] précision du positionnement
[Termes IGN] service web géographiqueRésumé : (Auteur) Where just two decades ago spatial data was mainly carried on paper maps, map and three-dimensional topographic data is now accessible via Google Earth. Where accurate positioning was once the professional pride of highly trained geodesists, we now see such services provided by GPS-based consumer products. This revolution in technological developments and demand for information implies the need for continuous upgrading of professionals: ‘lifelong learning’. Numéro de notice : A2006-340 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28064
in GIM international > vol 20 n° 9 (September 2006) . - pp 19 - 23[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 061-06091 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Integrating interferometric SAR data with levelling measurements of land subsidence using geostatistic Type de document : Article/Communication Auteurs : Y. Zhou, Auteur ; Alfred Stein, Auteur ; Martien Molenaar, Auteur Année de publication : 2003 Article en page(s) : pp 3547 - 3563 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bruit blanc
[Termes IGN] Chine
[Termes IGN] déformation de la croute terrestre
[Termes IGN] données de terrain
[Termes IGN] eau souterraine
[Termes IGN] erreur
[Termes IGN] erreur moyenne quadratique
[Termes IGN] extraction du sursol
[Termes IGN] géostatistique
[Termes IGN] image radar moirée
[Termes IGN] intégration de données
[Termes IGN] interferométrie différentielle
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] krigeage
[Termes IGN] nivellement
[Termes IGN] précision centimétrique
[Termes IGN] subsidence
[Termes IGN] variogrammeRésumé : (Auteur) Differential Synthetic Aperture Radar (SAR) interferometric (D-InSAR) data of ground surface deformation are affected by several error sources associated with image acquisitions and data processing. In this paper, we study the use of D-InSAR for quantifying land subsidence due to groundwater extraction. We model the data as the sum of a trend, a zeromean stochastic process and white noise. A geostatistical approach combines D-InSAR subsidence data with in situ levelling measurements. The objective of this paper is to correct the errors contained in the D-InSAR measurements by using measurements as the ground data to improve their accuracy. Discrepancies between the true subsidence values and original D-InSAR measurements are analysed at levelling points using variograms and predicted at unvisited points using kriging. The integrated measurements are obtained by subtracting the predicted errors from the original D-InSAR measurements. The proposed method is applied to data collected in the Tianjin (China) area where land subsidence occurs due to groundwater extraction. Results demonstrate the capability of the D-InSAR technique for detecting subsidence at the centimetre level, and of using a limited number of levelling points to improve the accuracy of D-InSAR deformation measurements provided the coherence of images used is high enough. Discrepancies between the true subsidence values and D-InSAR measurements are quantified using the root mean square error (RMSE). RMSE for the original data was equal to 2.8, and 0.8 for the integrated data, whereas the mean error was equal to 2.1 and 0.0, respectively. Numéro de notice : A2003-262 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116021000023880 En ligne : https://doi.org/10.1080/0143116021000023880 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22557
in International Journal of Remote Sensing IJRS > vol 24 n° 18 (September 2003) . - pp 3547 - 3563[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-03181 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : ISPRS 2000 : Proceedings and results, Amsterdam, The Netherlands Titre original : ISPRS 2000 : Compte rendu et résultats, Amsterdam, Pays-Bas Type de document : Actes de congrès Auteurs : Klaas Jan Beek, Éditeur scientifique ; Martien Molenaar, Éditeur scientifique ; Jan Timmerman, Éditeur scientifique Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2001 Collection : International Archives of Photogrammetry and Remote Sensing, ISSN 0252-8231 num. 33-A Importance : 456 p. Format : 21 x 30 cm Langues : Anglais (eng) Langues originales : Français (fre) Résumé : (documentaliste) Ce document contient les comptes-rendus des équipes et commissions de l'ISPRS et non pas les publications scientifiques. Numéro de notice : 17028 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Actes En ligne : http://www.isprs.org/proceedings/XXXIII/congress/partA/default.aspx Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79213 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 17028-01 CG2001 Livre Centre de documentation Congrès Disponible
contenu dans Mapping the 21st century: the 20th International Cartographic Conference, ICC 2001, Beijing, China, August 6 - 10, 2001, vol 3. Proceedings / L. Li (2001)
Titre : Spatial object aggregation based on data structure, local triangulation and hierarchical analyzing method Type de document : Article/Communication Auteurs : Liu Yaolin, Auteur ; Martien Molenaar, Auteur ; Menno-Jan Kraak, Auteur Editeur : International Cartographic Association ICA - Association cartographique internationale ACI Année de publication : 2001 Conférence : ICC 2001, 20th International Cartographic Conference ICA, Mapping the 21th century 06/08/2001 10/08/2001 Pékin Chine OA Proceedings Importance : pp 1625 - 1640 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie numérique
[Termes IGN] agrégation de données
[Termes IGN] approche hiérarchique
[Termes IGN] classification ascendante hiérarchique
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] information sémantique
[Termes IGN] modèle conceptuel de données
[Termes IGN] objet géographique
[Termes IGN] structure de données localisées
[Termes IGN] triangulation de DelaunayRésumé : (Auteur) Aggregation for spatial objects plays an important role in database or model generalization in GI since reducing spatial complexity is one of the major aims of model generalization. The aggregation operation can be considered as a geometrical operation under the control of semantic and spatial relation of objects. The process of spatial object aggregation is the process of spatial, semantic analyzing, decision-making and the implementation of operation. This process needs not only the geometric and thematic attributes of the objects, but also the spatial and semantic relationship among the objects. It also needs the supporting data structure and analyzing tools in order to make analyzing, decision-making and computation easy in aggregation process. There is still lack of studies on how data structure supports aggregation process and also lack of the method for semantic analysis in aggregation process. This paper is to focus methods and process of spatial aggregation based on semantic and geometric characteristics of spatial objects and relations among the object with the help of spatial data structure (Formal Data Structure), local constrained Delaunay triangulations and semantic hierarchy. The adjacent relation among connected objects an unconnected objects has been studied through constrained triangle as elementary processing unit aggregation operation. The hierarchical semantic analytical matrix is given for analyzing the similarity between object types and between objects (including different levels). It will govern and guide aggregation process. The several different cases of aggregation have been presented in this paper. Numéro de notice : C2001-041 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://icaci.org/files/documents/ICC_proceedings/ICC2001/icc2001/file/f11058.pd [...] Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64949 Advances in GIS Research 2 : proceedings SDH'96, Volume 1. Proceedings of the 7th International symposium on spatial data handling SDH'96 / Menno-Jan Kraak (1996)
PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkA further inquiry into the theory of S-transformations and criterion matrices / Martien Molenaar (1981)
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