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Cadastres and climate change: "multi-purpose" land administration systems / Paul Van Der Molen in Geoinformatics, vol 13 n° 2 (01/03/2010)
[article]
Titre : Cadastres and climate change: "multi-purpose" land administration systems Type de document : Article/Communication Auteurs : Paul Van Der Molen, Auteur Année de publication : 2010 Article en page(s) : pp 34 - 39 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cadastre étranger
[Termes IGN] aménagement du territoire
[Termes IGN] cadastre étranger
[Termes IGN] changement climatique
[Termes IGN] Pays-Bas
[Termes IGN] risque environnementalRésumé : (Auteur) This paper explores the role of land registers and cadastre in supporting measures that aim at adapting to and mitigating climate change. To that end, the paper provides a brief introduction to climate change in general and then continues by analyzing the role of housing, land use, land-use change and forestry with respect to carbon storage and emission reduction. To promote carbon sequestration and emission reduction, land policy and associated land instruments such as market regulation, land use planning, land taxation and land reform should include climate-proof goals. Copyright GEOinformatics Numéro de notice : A2010-077 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30273
in Geoinformatics > vol 13 n° 2 (01/03/2010) . - pp 34 - 39[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 262-2010021 RAB Revue Centre de documentation En réserve L003 Disponible Optimization of mobile radioactivity monitoring networks / Gerard B.M. Heuvelink in International journal of geographical information science IJGIS, vol 24 n°3-4 (march 2010)
[article]
Titre : Optimization of mobile radioactivity monitoring networks Type de document : Article/Communication Auteurs : Gerard B.M. Heuvelink, Auteur ; Zhiheng Jiang , Auteur ; S. De Bruin, Auteur ; C. Twenhöfel, Auteur Année de publication : 2010 Article en page(s) : pp 365 - 382 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] accident nucléaire
[Termes IGN] algorithme du recuit simulé
[Termes IGN] allocation
[Termes IGN] appareil portable
[Termes IGN] contamination
[Termes IGN] distribution spatiale
[Termes IGN] géostatistique
[Termes IGN] lever mobile
[Termes IGN] Pays-Bas
[Termes IGN] risque technologiqueRésumé : (Auteur) In case of a nuclear accident, decision makers rely on high-resolution and accurate information about the spatial distribution of radioactive contamination surrounding the accident site. However, the static nuclear monitoring networks of many European countries are generally too coarse to provide the desired level of spatial accuracy. In the Netherlands, authorities are considering a strategy in which measurement density is increased during an emergency using complementary mobile measuring devices. This raises the question, where should these mobile devices be placed? This article proposes a geostatistical methodology to optimize the allocation of mobile measurement devices, such that the expected weighted sum of false-positive and false-negative areas (i.e. false classification into safe and unsafe zones) is minimized. Radioactivity concentration is modelled as the sum of a deterministic trend and a zero-mean spatially correlated stochastic residual. The trend is defined as the outcome of a physical atmospheric dispersion model, NPK-PUFF. The residual is characterized by a semivariogram of differences between the outputs of various NPK-PUFF model runs, designed to reflect the effect of uncertainty in NPK-PUFF meteorological inputs (e.g. wind speed, wind direction). Spatial simulated annealing is used to obtain the optimal monitoring design, in which accessibility of sampling sites (e.g. distance to roads) is also considered. Although the methodology is computationally demanding, results are promising and the computational load may be considerably reduced to compute optimal mobile monitoring designs in nearly real time. Copyright Taylor & Francis Numéro de notice : A2010-142 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810802646687 En ligne : http://dx.doi.org/10.1080/13658810802646687 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30337
in International journal of geographical information science IJGIS > vol 24 n°3-4 (march 2010) . - pp 365 - 382[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2010022 RAB Revue Centre de documentation En réserve L003 Disponible 079-2010021 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Knowledge based building facade reconstruction from laser point clouds and images Type de document : Thèse/HDR Auteurs : Shi Pu, Auteur Editeur : Delft : Netherlands Geodetic Commission NGC Année de publication : 2010 Collection : Netherlands Geodetic Commission Publications on Geodesy, ISSN 0165-1706 num. 75 Importance : 119 p. Format : 17 x 24 cm ISBN/ISSN/EAN : 978-90-6132-319-3 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] B-Spline
[Termes IGN] base de connaissances
[Termes IGN] données laser
[Termes IGN] données localisées 3D
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] façade
[Termes IGN] Pays-Bas
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] semis de points
[Termes IGN] système à base de connaissances
[Termes IGN] télémétrie laser terrestre
[Termes IGN] texturageIndex. décimale : 33.80 Lasergrammétrie Résumé : (Auteur) Various applications demand realistic 3D city models. For urban planning, analyzing in a 3D virtual reality world is much more efficient than imaging the 2D information on maps. For public security, accurate 3D building models are indispensable to make strategies during emergency situations. Navigation systems and virtual tourism also benefit from realistic city models. Manual creation of city models is undoubtedly a rather time consuming and expensive procedure. On one hand, images are for long the only data source for geometric modelling, while recovering of 3D geometries is not straightforward from 2D images. On the other hand, there are enormous amounts of objects (for example buildings) to be reconstructed, and their structures and shapes show a great variety. There is a lack of automated approaches to understand the building structures captured by data. The rapid development of cities even adds to the cost of manual city model updating. In recent years, laser scanning has been proven a successful technology for reverse engineering. The terrestrial laser point clouds are especially useful for documenting building facades. With the considerable high point density and the explicit 3D coordinates of terrestrial laser point clouds, it is possible to recover both large structures and fine details on building facades. The latest developments of mobile laser scanning technology also make it more cost-effective to take large-scale laser scanning over urban areas.
This PhD research aims at reconstructing photorealistic building facade models from terrestrial laser point clouds and close range images, with a largely automatic process. A knowledge base about building facade structures is established first, where several important building features (wall, door, protrusion, etc.) are defined and described with their geometric properties and spatial relationships. Then constraints for feature extraction are derived from the knowledge base. After a laser point cloud is segmented into planar segments by surface a growing segmentation algorithm, each segment is compared with the feature constraints to determine the most likely feature type for each segment. The feature extraction method works fine for all facade features except for windows, because there are usually insufficient laser points reflected from window glass. Instead, windows are reconstructed from the holes on the wall features. Then outline polygons or B-spline surfaces are fit to all feature segments, and the parts without laser points are hypothesized according to knowledge. A complete polyhedron model is combined from both fitted and hypothesized outlines.
Since laser data contains no colour information, the building models reconstructed from only laser data contain only geometric information such as vertices and edges. To obtain photorealistic results, textures must be mapped from images to the geometric models. The fusing of laser points and image requires accurate alignment between laser space and image space, which is accomplished after a semi-automated process. Because of the limitations of modelling methods, the geometry model reconstructed from laser points may contain many errors which would cause poor texturing effect. Therefore, significant line features extracted from images are compared with the initial model's edges, and necessary refinements are made to correct the model errors, or at least make the model edges consistent with the image lines. Finally, in the texturing stage, the texture of each model face is selected automatically from multiple images to ensure the optimal visibility. Texture errors caused by occlusions in front of a wall are also removed by analyzing the locations of the wall, the occlusions and the camera position.
Experiments with three data sets show that building reconstruction are considerably accelerated by the presented methods. Our approach is more than 10 times faster than the traditional approach when reconstructing the same buildings, and the models by our approach contain more fine details such as doors and windows. The reconstruction of wall facades and roofs are fully automatic, while some manual interactions (48 percent of the total reconstruction time) are still required for editing the fine details. It should also be faster to make global statistics (number of floors, number of entrances, etc.) and modifications (deriving models with a lower level of detail, applying pre-defined textures, etc.) later on to our models, since different model parts have been associated with the semantic labels. While the reconstruction efficiency is improved by our approach, the visualization effects of our models are also comparable to the models by the traditional approach. The future work will focus on improving the knowledge base and developing a fully automated camera parameter estimation procedure. The completeness and adaptability of the knowledge base will be especially important for the further automation of our reconstruction approach.Note de contenu : 1 Introduction
1.1 State-of-the-art of terrestrial laser scanning
1.2 Related works
1.2.1 Overview
1.2.2 Frueh et al. 2005
1.2.3 Cornelis et al. 2008
1.2.4 Ripperda2008
1.2.5 Becker 2009
1.3 Method overview
1.4 Structure of the thesis
2 Knowledge engineering and reasoning
2.1 Knowledge engineering
2.1.1 Assembling the knowledge
2.1.2 Decide on a vocabulary
2.1.3 Encode general knowledge
2.1.4 The hierarchical composition
2.2 Reasoning with the knowledge
2.3 Managing uncertainty
2.3.1 Describing the uncertainty
2.3.2 Making expected decisions
2.4 Concluding remarks
3 Feature extraction
3.1 Preprocessing
3.1.1 Spatial indexing
3.1.2 Extracting points of interest
3.2 Extraction of geometric features
3.2.1 Flat surfaces
3.2.2 Curved surfaces
3.3 Extraction of semantic features
3.3.1 Solid features extraction
3.3.2 Hole-based window extraction
3.4 Discussion
4 Geometric reconstruction
4.1 Polygon fitting
4.1.1 Least squares fitting
4.1.2 Convex polygon and concave polygon fitting
4.1.3 Minimum bounding rectangle fitting
4.2 B-spline surface fitting
4.2.1 The B-spline curve and surface
4.2.2 B-spline surface approximation
4.3 Hypotheses for parts without laser data
4.4 Results and Discussion
4.4.1 Flat surfaces
4.4.2 Curved surfaces
5 Model refinement with imagery
5.1 Method overview
5.2 Registration
5.2.1 Perspective Conversion
5.2.2 Spatial Resection
5.2.3 Relative Orientation
5.3 The model refinement
5.3.1 Extraction of Significant Lines from Images
5.3.2 Matching Model Edges with Image Lines
5.3.3 Refinement Strategy
5.4 Test cases
5.4.1 The restaurant house
5.4.2 The town hall
5.4.3 The wall with high windows
5.4.4 Summary
5.5 Conclusions and outlook
6 Texture mapping
6.1 Selecting texture images
6.1.1 Optimal image selection
6.1.2 Occlusion removal
6.2 Calculating texture coordinates
6.3 Results and discussion
6.3.1 The three joined houses
6.3.2 The house with a balcony
6.3.3 The curved walls
6.3.4 Discussion
7 Method evaluation
7.1 The reconstruction approaches
7.1.1 Our approach
7.1.2 The traditional approach
7.2 The Vlaardingen case
7.3 The Enschede case
7.4 The Esslingen case
7.5 Conclusions
8 Conclusions and recommendations
8.1 Conclusions
8.2 RecommendationsNuméro de notice : 10834 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère Note de thèse : PhD thesis : En ligne : https://www.ncgeo.nl/index.php/en/publicatiesgb/publications-on-geodesy/item/257 [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=62511 Réservation
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Titre : Management of massive point cloud data : wet and dry Type de document : Actes de congrès Auteurs : Peter J. M. Van Oosterom, Éditeur scientifique ; M. George Vosselman, Éditeur scientifique ; Thaiënne A.G.P. Van Dijk, Éditeur scientifique ; Milan Uitentuis, Éditeur scientifique Editeur : Delft : Netherlands Geodetic Commission NGC Année de publication : 2010 Collection : Netherlands Geodetic Commission Green series num. 49 Conférence : NCG 2009, seminar Management of massive point cloud data: wet and dry 26/11/2009 Utrecht Pays-Bas Importance : 93 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-90-6132-322-8 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] bathymétrie acoustique
[Termes IGN] données lidar
[Termes IGN] modèle numérique de terrain
[Termes IGN] Pays-Bas
[Termes IGN] semis de points
[Termes IGN] sondeur multifaisceauxRésumé : (Auteur) This publication contains a selection of papers that result of the seminar ‘Management of massive point cloud data: wet and dry’ on Thursday 26 November 2009 at Oracle, De Meern, the Netherlands. This seminar was jointly organized by the subcommissions 'Marine Geodesy' and 'Core Spatial Data' of the Netherlands Geodetic Commission (part of the Royal Netherlands Academy of Arts and Sciences) and the SIM (Spatial Information Management) commission of the OGh (Oracle Gebruikersclub Holland). The theme of the seminar was about the challenges caused by the ever increasing amount of data that is generated by modern sensor systems, both in the wet and dry sectors. To reach a broader audience, both marine (multi-beam echo) and land (LiDAR) data was included. Note de contenu : - Management of massive point cloud data: wet and dry. Editorial / P.J.M. van Oosterom, M.G. Vosselman, Th.A.G.P. van Dijk, M. Uitentuis
- Needle in a haystack / R.H. Righolt, J. Schaap, L.L. Dorst, E.M. Vos
- The art of collecting and disseminating point clouds / M.P. Kodde
- How the Up-to-date Height Model of the Netherlands (AHN) became a massive point data cloud / L.M.Th. Swart
- Recent developments in multi-beam echo-sounder processing The multi-beam potential for sediment classification and water column sound speed estimation / D.G. Simons, A. Amiri-Simkooei, K. Siemes, M. Snellen
- Storage and analysis of massive TINs in a DBMS / H. Ledoux
- Marine high-density data management and visualization / M.A. Masry, P. Schwartzberg
- Scalable visualization of massive point clouds / G. de Haan
- Mapping the world with LiDAR / S. Coppens
- Handling large amounts of multibeam data / S. Broen
- Virtualising large digital terrain models / G.G. SpoelstraNuméro de notice : 10966 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Actes En ligne : https://www.ncgeo.nl/index.php/en/publicatiesgb/green-series/item/2371-gs-49-p-j [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=39880 Documents numériques
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Titre : Core spatial data : NCG seminar on the occasion of the 25th year jubilee of Mathias J.P.M. Lemmens at TU Delft, Delft, 18 december 2008 Type de document : Actes de congrès Auteurs : Peter J. M. Van Oosterom, Éditeur scientifique Editeur : Delft : Netherlands Geodetic Commission NGC Année de publication : 2009 Collection : Netherlands Geodetic Commission Green series num. 47 Conférence : NGC 2008, seminar on the occasion of the 25th year jubilee of Mathias J.P.M. Lemmens, Core spatial data 18/12/2008 Delft Pays-Bas OA proceedings Importance : 86 p. Format : 17 x 24 ISBN/ISSN/EAN : 978-90-6132-317-4 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] base de données localisées
[Termes IGN] cadastre étranger
[Termes IGN] données localisées 3D
[Termes IGN] infrastructure nationale des données localisées
[Termes IGN] Pays-BasNote de contenu : Introduction Core Spatial Data / Prof.Dr.lr. P.J.M. van Oosterom
Towards one domain model and one key register topography / Dr. J.E. Stoter
AHN in perspective: Dutch Digital Elevation Data (AHN) Core Spatial Data? / Ing. S.J. Flos MSc MMI
The research plan of the NCG Subcommission Spatial Core Data / Prof.Dr.ir. M.G. Vosselman, F.H. Schroder, Drs. R. van Essen, Ir. L. Heres, Ir.Drs. A.J. Klijnjan, Ir. R.J.G.A. Kroon, Dr. J.E. Stoter, Prof.Dr.lr. P.J.M. van Oosterom, Ir. R.P.E. van Rossem
CycloMedia 's aerial and ground based image databases / Dr.lr. F.A. van den Heuvel
Cadastral information: more than base data / Prof.Dr. J.A. Zevenbergen, Dr.lr. H.T. Uitermark, Ir. C.H.J. Lemmen
Aspects concerning the use of spatial core data / Ir. R.J.G.A. KroonNuméro de notice : 10831 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Actes DOI : sans En ligne : https://www.ncgeo.nl/downloads/47VanOosterom.pdf Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=34536 Réservation
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