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Method for detecting apparent differences between spatial tessellations at different time points / A. Masuyama in International journal of geographical information science IJGIS, vol 20 n° 6 (july 2006)
[article]
Titre : Method for detecting apparent differences between spatial tessellations at different time points Type de document : Article/Communication Auteurs : A. Masuyama, Auteur Année de publication : 2006 Article en page(s) : pp 633 - 648 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] analyse diachronique
[Termes IGN] appariement de formes
[Termes IGN] appariement de graphes
[Termes IGN] détection de changement
[Termes IGN] fusion de données multisource
[Termes IGN] tessellationRésumé : (Auteur) This paper proposes methods for detecting apparent differences between spatial tessellations at two different points in time, with the objective of conflation of spatial tessellations at multiple time points. The methods comprise three steps. First, we eliminate systematic differences between tessellations using the affine transformation. Second, we match subregions between tessellations at two points in time and match boundaries based on matching relationships between the subregions. Third, we propose a distance metric for measuring differences between the matched boundaries and a method for determining whether the measured differences are apparent or not. We apply the proposed methods to a part of the US Census data for 1990 and 2000 and empirically demonstrate the effectiveness of these methods. Numéro de notice : A2006-238 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810600661300 En ligne : https://doi.org/10.1080/13658810600661300 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27965
in International journal of geographical information science IJGIS > vol 20 n° 6 (july 2006) . - pp 633 - 648[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-06061 RAB Revue Centre de documentation En réserve L003 Disponible 079-06062 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : 3D road mark reconstruction from multiple calibrated aerial images Type de document : Article/Communication Auteurs : Olivier Tournaire , Auteur ; Nicolas Paparoditis , Auteur ; Franck Jung , Auteur ; Bernard Cervelle, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2006 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 36-3 Conférence : PCV 2006, ISPRS - Commission 3 symposium Photogrammetric Computer vision 20/09/2006 22/09/2006 Bonn Allemagne OA ISPRS Archives Importance : pp 73 - 78 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement de formes
[Termes IGN] corrélation à l'aide de traits caractéristiques
[Termes IGN] détection d'objet
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] image aérienne
[Termes IGN] reconstruction 3D
[Termes IGN] signalisation routièreRésumé : (auteur) A method for accurate 3D reconstruction of road features from multiple calibrated aerial images of urban areas is proposed in this paper. We here focus on road-marks and in particular on zebra-crossings and discontinuous road-marks separating circulation lanes. The approaches used here are generic and based on a-priori external knowledge and thus constrain the extraction of image features. As we will explain, two strategies are adopted depending on the object size. For zebra-crossings, we first build 3D segments representing stripes’ borders by 2D segments matching. For discontinuous lanes, we build a graph describing the network in each image and then match nodes in order to obtain 3D position of stripes’ centers. This provides in both cases an initial solution in 3D space. Using geometric and radiometric modeling to obtain a set of plausible models, e then look for an optimal solution. The last step yields us to choose the best one in adequacy with images data. A correlation based energy and template matching strategy achieve this in a hierarchical frame. The algorithm is finally evaluated with ground control points surveyed with a millimetric precision. Numéro de notice : C2006-010 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/part3/singlepapers/P_09.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86190 Documents numériques
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3D road mark reconstruction - pdf éditeurAdobe Acrobat PDF Automatic reconstruction of industrial installations using point clouds and images / Tahir Rabbani Shah (2006)
Titre : Automatic reconstruction of industrial installations using point clouds and images Type de document : Thèse/HDR Auteurs : Tahir Rabbani Shah, Auteur Editeur : Delft : Netherlands Geodetic Commission NGC Année de publication : 2006 Collection : Netherlands Geodetic Commission Publications on Geodesy, ISSN 0165-1706 num. 62 Importance : 160 p. Format : 17 x 24 cm ISBN/ISSN/EAN : 978-90-6132-297-9 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie terrestre
[Termes IGN] appariement de formes
[Termes IGN] bâtiment industriel
[Termes IGN] conception assistée par ordinateur
[Termes IGN] détection d'objet
[Termes IGN] détection de contours
[Termes IGN] données localisées 3D
[Termes IGN] lissage de données
[Termes IGN] métrologie industrielle
[Termes IGN] modélisation 3D
[Termes IGN] photogrammétrie terrestre
[Termes IGN] reconstruction 3D
[Termes IGN] segmentation
[Termes IGN] segmentation d'image
[Termes IGN] semis de points
[Termes IGN] transformation de HoughIndex. décimale : 33.70 Photogrammétrie terrestre Résumé : (Auteur) Up to date and accurate 3D models of industrial sites are required for different applications like planning, documentation and training. Traditional methods for acquiring as-built information like manual measurements by tape and tacheometry are not only slow and cumbersome but most of the time they also fail to provide the amount of detail required. Many industrial facilities provide a limited personnel access because of the presence of radioactive, toxic or hazardous materials together with an unsafe working environment, which necessitates the use of non-contact measurement methods.
Traditional photogrammetry depends on point or line measurements from which it is very hard to get complete CAD models without extensive manual editing and refinement. Compared to photogrammetry laser scanning provides explicit and dense 3D measurements. There has been a rapid increase in the speed and accuracy of the laser scanners in the last decade, while their costs and sizes have been continuously shrinking. All modeling tools available on the market depend on heavy operator intervention for most of the modeling tasks. Although there are some semi-automatic tools like plane or cylinder growing even there the operator has to start the growing process for each primitive. Furthermore, the fitted surfaces must be manually edited by the operator to convert them to a CAD description.
This thesis presents new methods and techniques which can be used for automatic or efficient semiautomatic 3D modeling of existing industrial installations from point clouds and images. The goal is to use explicit 3D information from the point clouds to automatically detect the objects and structure present in the scene. The detected objects are then used as targets for model based registration, which can be automated by searching for object correspondences. To avoid manual editing the presented techniques use models from a catalogue of commonly found CAD objects as templates for model fitting. In the final fitting phase images are also included to improve the quality of parameter estimation.
Segmentation is a very important step that needs to be carried out as a pre cursor to object recognition and model fitting. We present a method for the segmentation of the point clouds, which avoids over-segmentation while partitioning the input data into mutually disjoint, smoothly connected regions. It uses a criterion based on a combination of surface normal similarity and spatial connectivity, which we call smoothness constraint. As we do not use surface curvature our algorithm is less sensitive to noise. Moreover, there are only a few parameters which can be adjusted to get a desired trade-off between under- and over-segmentation.
Segmentation is followed by a stage of object recognition based on a variation of the Hough transform for automatic plane and cylinder detection in the point clouds. For plane detection the Hough transform is three dimensional. For the cylinder detection the direct application of the Hough transform requires a 5D Hough space, which is quite impractical because of its space and computational complexity. To resolve this problem we present a two-step approach requiring a 2D and 3D Hough space. In the first step we detect strong hypotheses for the cylinder orientation. The second step estimates the remaining three parameters of the cylinder i.e. radius and position.
The problem of fitting models like planes, cylinders, spheres, cones, tori and CSG models to point clouds is very important for data reduction. For the fitting of CSG models, this thesis presents three different methods for approximating the orthogonal distance, which are compared based on speed and accuracy.
We also present methods for using modeled objects in individual scans as targets for registration. As the available geometrie structure is used, there is no need to place artificial targets. We present two different methods for this purpose called Indirect and Direct method. The Indirect method is a quick way to get approximate values while the Direct method is then used to refine the approximate solution. We also present techniques for automatically finding the corresponding objects for registration of scans. The presented techniques are based on constraint propagation which use the geometric information available from the previously made correspondence decision to filter out the possibilites for future correspondences.
Although point clouds are very important for the automation because of their explicit 3D information, images provide a complementary source of information as they contain well-defined edges of the bounded objects. We present methods for the fitting of CSG models to a combination of point clouds and images. We also present techniques for the specification of geometric constraints between sub-parts of a CSG tree and their inclusion in the model estimation process. A taxonomy of commonly encountered geometric constraints and their mathematical formulation is also given.
We hope that the techniques presented in this thesis will lead to an improvement in efficiency and quality of the models obtained for industrial installations from point clouds and images.Note de contenu : 1 Introduction
1.1 Literature survey
1.2 Objectives and modeling pipeline
1.3 Outline of the thesis
2 Segmentation using smoothness constraint
2.1 Introduction
2.2 Segmentation algorithm
2.3 Results
2.4 Conclusions
3 Object recognition
3.1 Introduction
3.2 Plane detection
3.3 Cylinder detection
3.4 Ambiguity resolution by hypothesis testing
3.5 Results
3.6 Conclusions
4 Model fitting to point clouds
4.1 Introduction
4.2 Problem definition
4.3 Fitting of simple géométrie objects
4.4 CSG Fitting
4.5 Results
4.6 Conclusions
5 Model-based registration
5.1 Introduction
5.2 Notation.
5.3 Indirect Method.
5.4 Direct Method
5.5 Results and discussion
5.6 Conclusions.
6 Automatic correspondence search
6.1 Introduction
6.2 Algorithm outline
6.3 Constrained Search for Correspondences
6.4 Comparison
6.5 Results
6.6 Conclusions
7 Constrained CSG fitting
7.1 Introduction
7.2 Model Fitting
7.3 Types of constraints
7.4 Examples of constraints
7.5 Fitting Experiments
7.6 Results .
7.7 Conclusions
8 Conclusions
8.1 Achievements
8.2 Directions for future workNuméro de notice : 15184 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère DOI : sans En ligne : https://www.ncgeo.nl/downloads/62Rabbani.pdf Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=55091 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 15184-01 33.70 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible 15184-02 33.70 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible The recognition of road network from high-resolution satellite remotely sensed data using image morphological characteristics / C. Zhu in International Journal of Remote Sensing IJRS, vol 26 n° 24 (December 2005)
[article]
Titre : The recognition of road network from high-resolution satellite remotely sensed data using image morphological characteristics Type de document : Article/Communication Auteurs : C. Zhu, Auteur ; Wei Shi, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 5493 - 5508 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse visuelle
[Termes IGN] appariement de formes
[Termes IGN] échelle d'intensité
[Termes IGN] extraction du réseau routier
[Termes IGN] image à haute résolution
[Termes IGN] image Ikonos
[Termes IGN] morphologie mathématique
[Termes IGN] niveau de gris (image)
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] reconnaissance de formes
[Termes IGN] réseau routier
[Termes IGN] segment de droiteRésumé : (Auteur) With the development of remote sensors and satellite technologies, high-resolution satellite data such as IKONOS images have been available recently. By these new high resolution satellite data, remote sensing technologies can be successfully applied to more application areas such as extracting road network from high resolution satellite images. This paper proposes a newly developed approach to extract a road network from high resolution satellite images. The approach is based on the binary and greyscale mathematical morphology and a line segment match method. First, the outline of road network is detected based on the grey morphological characteristics. Then, the basic road network is detected by the line segment match method. Next, the detected basic road network is processed based on the knowledge about the roads and binary mathematical morphological methods. Finally, visual analysis and three indicators are used to evaluate the accuracy of the extracted road networks. The results of the accuracy evaluation demonstrate that the developed road network extraction approach can provide both good visual effect and high positional accuracy. Numéro de notice : A2005-523 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500300354 En ligne : https://doi.org/10.1080/01431160500300354 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27659
in International Journal of Remote Sensing IJRS > vol 26 n° 24 (December 2005) . - pp 5493 - 5508[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05241 RAB Revue Centre de documentation En réserve L003 Exclu du prêt The use of remote sensing techniques and empirical tectonic models for inference of geological structures: bridging from regional to local scales / P.C. Fernandes Da Silva in Remote sensing of environment, vol 96 n° 1 (15/05/2005)
[article]
Titre : The use of remote sensing techniques and empirical tectonic models for inference of geological structures: bridging from regional to local scales Type de document : Article/Communication Auteurs : P.C. Fernandes Da Silva, Auteur ; J.C. Cripps, Auteur ; S.M. Wise, Auteur Année de publication : 2005 Article en page(s) : pp 18 - 36 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] appariement de formes
[Termes IGN] détection de contours
[Termes IGN] estimation statistique
[Termes IGN] image Landsat-TM
[Termes IGN] jeu de données localisées
[Termes IGN] linéament
[Termes IGN] photo-interprétation
[Termes IGN] photo-interprétation assistée par ordinateur
[Termes IGN] structure géologiqueRésumé : (Auteur) Practical and economie constraints prompt the need of obtaining structural geological information with reduced field effort. This paper prescrits a methodological strategy for deriving such information from remotely sensed (RS) images coupled with empirical tectonic models as a way of bridging from regional to local scales. The hypothesis that spatial organisation displayed by small-scale tectonic structures (and not only the large ones) could be correlated with the arrangement of natural linear features observed on RS imagery to allow inferences on the local geological structure was tested. Azimuth direction and subsidiarily length were found to be the most appropriate attributes for spatial characterisation and comparative analyses of line sets. Inferences made of tectonic structures and respective directional arrangements were based on a combination of qualitative (visual analysis of histograms) and statistical methods (non-parametric goodness-of-fit tests). The numerical evaluation of the results of tests expressed in terms of average degree of matching (91% to 95%) and errors (5% of omission errors and 31.2% of commission errors) showed a reasonable efficiency of the inferential approach in predicting the structural geological settings in lithological units as well as in mid-size areas (50 to 80 km 2 approximately). Potential applications of the inferential approach in terrain evaluation schemes, particularly for planning and engineering-related purposes, are envisaged. Numéro de notice : A2005-210 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2005.01.007 En ligne : https://doi.org/10.1016/j.rse.2005.01.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27347
in Remote sensing of environment > vol 96 n° 1 (15/05/2005) . - pp 18 - 36[article]Least squares 3D surface and curve matching / Armin W. Gruen in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 3 (May 2005)PermalinkNon rigid registration of shapes via diffeomorphic point matching and clustering / Laurent Garcin (2005)PermalinkA robust method for semi-automatic extraction of road centrelines using a piecewise parabolic model and least square template matching / Xiangyun Hu in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 12 (December 2004)PermalinkApport des spécifications pour les modèles de bases de données géographiques / Nils Gesbert in Revue internationale de géomatique, vol 14 n° 2 (juin - aout 2004)PermalinkA model-based approach to semi-automated reconstruction of buildings from aerial images / Kourosh Khoshelham in Photogrammetric record, vol 19 n° 106 (June - August 2004)PermalinkGeodesic matching of shapes via quantization / Laurent Garcin (2004)PermalinkA neural adaptive model for feature extraction and recognition in high resolution remote sensing imagery / E. Binaghi in International Journal of Remote Sensing IJRS, vol 24 n° 20 (October 2003)PermalinkAutomatic matching and three-dimensional reconstruction of free-form linear features from stereo images / A.F. Habib in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 2 (February /2003)PermalinkAutomatic surface reconstruction based on the fusion of fuzzy logic and robust estimation techniques / F. Samadzadegan in Photogrammetric record, vol 17 n° 100 (October 2002 - March 2003)PermalinkDéveloppement d'une approche figurale pour la radargrammétrie haute résolution en zone urbaine / Florence Tupin in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 166 (Janvier 2002)Permalink