Sester / Bernard / Paelke Advances in GIScience

Proceedings of the 12th AGILE Conference
1. Auflage 2009
ISBN: 978-3-642-00318-9
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 448 Seiten

Reihe: Lecture Notes in Geoinformation and Cartography

The Association of Geographic Information Laboratories for Europe (AGILE) was established in early 1998 to promote academic teaching and research on GIS at the European level. Since then, the annual AGILE c- ference has gradually become the leading GIScience conference in Europe and provides a multidisciplinary forum for scientific knowledge prod- tion and dissemination. GIScience addresses the understanding and automatic processing of geospatial information in its full breadth. While geo-objects can be represented either as vector data or in raster formats these representations have also guided the research in different disciplines, with GIS researchers concentrating on vector data while research in photogrammetry and c- puter vision focused on (geospatial) raster data. Although there have - ways been small but fine sessions addressing photogrammetry and image analysis at past AGILE conferences, these topics typically played only a minor role. Thus to broaden the domain of topics the AGILE 2009 con- rence it is jointly organized with a Workshop of the International Society of Photogrammetry and Remote Sensing (ISPRS), dedicated to High Re- lution Satellite Imagery, organized by Prof. Christian Heipke of the Le- niz Universität Hannover. This collocation provides opportunities to explore commonalities - tween research communities and to ease exchange between participants to develop or deepen mutual understanding. We hope that this approach enables researchers from the different communities to identify common - terests and research methods and thus provides a basis for possible future cooperations.

Autoren/Hrsg.

Sester, Monika

Bernard, Lars

Paelke, Volker

Inhaltsverzeichnis

1;Preface;5
1.1;Programme Committee;7
1.2;Local Committee;7
1.3;Scientific Committee;7
2;Contributing Authors;10
2.1;Georg-August-University Göttingen, Germany;12
3;Table of Contents;14
3.1;Data Acquisition, Classification and Interpretation;14
3.2;Data Fusion and Integration;14
3.3;Spatio Temporal Modelling and Analysis;15
3.4;Generalization, Visualization and Perception;16
4;Identification of Practically Visible Spatial Objects in Natural Environments;17
4.1;1 Introduction;17
4.2;2 Background;19
4.3;3 Method;22
4.4;4 Experiment and Results;25
4.5;5 Case Study and Discussion;34
4.6;6 Conclusions and Future Work;36
4.7;Acknowledgments;37
4.8;References;37
5;Extraction of Features from Mobile Laser Scanning Data for Future Driver Assistance Systems;40
5.1;1 Introduction;40
5.2;2 Matching and Positioning Based on Overlapping Data;42
5.3;3 Our Approach and Test Setup;44
5.4;4 Extraction of Poles;47
5.5;5 Positioning Based on the Matching of Poles;50
5.6;r are the measured distances,;50
5.7;6 Discussion and Outlook;55
5.8;Acknowledgements;56
5.9;References;56
6;Automatic Revision of 2D Building Databases from High Resolution Satellite Imagery: A 3D Photogrammetric Approach;58
6.1;1 Introduction;59
6.2;2 Automatic Verification of the Database (Phase I);63
6.3;3 Detection of New Buildings (Phase II);68
6.4;z z z and . z 2 (2) 2 (3);69
6.5;= - + . z;69
6.6;. = - + .;69
6.7;z z z x y;69
6.8;4 Experiments;73
6.9;4 Conclusion and Future Trends;79
6.10;References;80
7;Accuracy of High-Resolution Radar Images in the Estimation of Plot-Level Forest Variables;82
7.1;1 Introduction;83
7.2;2 Material and Methods;86
7.3;3 Evaluation of Results;90
7.4;RMSE% = 100* RMSE y;90
7.5;yˆ;90
7.6;yi = mean of measured values of variable y;90
7.7;4 Discussion and Conclusions;93
7.8;Acknowledgements;94
7.9;References;95
8;Assessment of Solar Irradiance on the Urban Fabric for the Production of Renewable Energy using LIDAR Data and Image Processing Techniques;98
8.1;1 Introduction;99
8.2;2 Related Work;101
8.3;3 Dataflow Process;103
8.4;4 Presentation of Methodology: the Implementation of the 2.5-D Urban Surface Model from LIDAR Data to the Calculation of Irradiation on Roof Surfaces;104
8.5;5 Theory on Solar Radiation: Calculating Hourly Global Radiation Incident on an Inclined Plane (Roof);110
8.6;6 Image Processing of Raster Images for the Study of Solar Radiation;111
8.7;7 Results of the Analysis;114
8.8;8 Visualization of Results: 2-D Displays for Communicating Purposes;121
8.9;9 Conclusions;123
8.10;10 Future Work;124
8.11;Acknowledgements;125
8.12;References;125
9;Enhancing 3D City Models with Heterogeneous Spatial Information: Towards 3D Land Information Systems;128
9.1;1 Introduction;129
9.2;2 Study Area and System Specifications;130
9.3;3 Methods;131
9.4;4 Results;138
9.5;5 Discussion;145
9.6;Acknowledgements;146
9.7;References;147
10;Matching River Datasets of Different Scales;149
10.1;1 Introduction;150
10.2;2 The Use Case: Chinese River Datasets;152
10.3;3 Matching Procedure;153
10.4;4 Experimental Results;163
10.5;5 Conclusion and Outlook to Future Work;166
10.6;Acknowledgements;167
10.7;References;167
11;An Approach to Facilitate the Integration of Hydrological Data by means of Ontologies and Multilingual Thesauri;169
11.1;1 Introduction;169
11.2;2 State of the Art in Ontology Based Discovery and Retrieval;171
11.3;3 Design and Architecture of the System;172
11.4;4 Conclusions;183
11.5;Acknowledgments;183
11.6;References;184
12;Applying Instance Visualisation and Conceptual Schema Mapping for Geodata Harmonisation;186
12.1;1 Introduction and Motivation;186
12.2;2 Related Work;189
12.3;3 A Framework for the Schema Mapping Process;194
12.4;4 Implementation of a Task-Based Conceptual Schema Alignment Tool;201
12.5;5 Conclusions and Outlook;205
12.6;Acknowledgements;205
12.7;References;206
13;Transferring Segmented Properties in the Conflation of Transportation Networks;208
13.1;1 Introduction;209
13.2;2 Conceptual Model of Segmented Properties and Implementations;213
13.3;3 Transferring Segmented Properties Among Different Implementation Structures;220
13.4;4 Managing Integration of Segmented Properties after Geometry Conflation;224
13.5;5 Conclusions and Future Work;227
13.6;References;228
14;Detecting Hotspots in Geographic Networks;229
15;Estimating Spatio-Temporal Distribution of Railroad Users and Its Application to Disaster Prevention Planning;244
15.1;1 Introduction;244
15.2;2 Methods of Estimating The Spatio-Temporal Distribution of Railroad Users;245
15.3;3 Spatio-Temporal Distribution of Railroad Users;251
15.4;4 Spatio-Temporal Distribution of Persons with Difficulty Returning Home;255
15.5;5 Summary and Conclusions;260
15.6;Acknowledgements;261
15.7;References;261
16;Rasterizing Census Geography: Definition and Optimization of a Regular Grid;262
16.1;1 Introduction;262
16.2;2 Background and Case Study;266
16.3;3 Methodology;267
16.4;4 Results and Discussion;274
16.5;5 Conclusion;278
16.6;References;279
17;Towards Semantic Interpretation of Movement Behavior;281
17.1;1 Introduction;281
17.2;2 Semantic Enrichment Process;283
17.3;3 Ontology Languages;285
17.4;4 The Semantic Representation of Trajectories;286
17.5;5 Mining Semantic Trajectories;287
17.6;6 Reasoning on Trajectory Patterns;288
17.7;7 System Implementation;290
17.8;8 Related Work;296
17.9;9 Conclusions and Future Work;296
17.10;Acknowledgments;297
17.11;References;297
18;Three-Valued 9-Intersection for Deriving Possible Topological Relations from Incomplete Observations;299
18.1;1 Introduction;299
18.2;2 The 9-Intersection;302
18.3;3 Handling Topological Relations under Uncertainty;304
18.4;4 Three-Valued 9-Intersection Matrix;305
18.5;5 Expressing Uncertain Spatial Arrangements with Three-Valued 9-Intersection Matrix;310
18.6;6 Assessment of Topological Information Derived under Different Topological Relation Sets;313
18.7;7 Conclusions;316
18.8;References;316
19;Modeling Land Use Change: A GIS Based Modeling Framework to Support Integrated Land Use Planning (NabanFrame);319
19.1;1 Introduction;320
19.2;2 The NabanFrame Modeling Framework;322
19.3;3 Preparing Data in GIS;328
19.4;4 Results;334
19.5;5 Discussion;335
19.6;References;336
20;Monitoring System for Assessment of Vegetation Sensitivity to El-Niño over Africa;339
20.1;1 Introduction;339
20.2;2 Data;341
20.3;3 Methods;343
20.4;4 Results;346
20.5;(a) (b);348
20.6;5 Conclusions;352
20.7;References;353
21;A Storage and Transfer Efficient Data Structure for Variable Scale Vector Data;355
21.1;1 Introduction;355
21.2;2 Previous Works;357
21.3;3 Classic tGAP Structure;358
21.4;4 Design Alternatives for a Lean tGAP Structure;365
21.5;O(e2);372
21.6;e · (e +1) / 2 = O(e2) edges.;372
21.7;2 · e - f;372
21.8;5 Experiment and Results;373
21.9;6 Conclusion and Discussion;375
21.10;References;377
22;Line Decomposition Based on Critical Points Detection;378
22.1;1 Introduction;378
22.2;2 Empirical Mode Decomposition;380
22.3;3 Decomposition Based on Critical Points Identification;386
22.4;4 Perspectives;392
22.5;References;393
23;Generalization of 3D Buildings Modelled by CityGML;395
23.1;1 Introduction;395
23.2;2 The CityGML for 3D Building Modeling;397
23.3;3 The generalization Based on CityGML Modelling;399
23.4;4 Implementation and Results;409
23.5;5 Conclusion;411
23.6;Acknowledgements;412
23.7;References;412
24;3D Wayfinding Choremes: A Cognitively Motivated Representation of Route Junctions in Virtual Environments;414
24.1;1 Introduction;415
24.2;2 3D Wayfinding Choremes;416
24.3;3 Creation of a Choremized World;420
24.4;4 An Interactive Application for Experiments;426
24.5;5 Discussion;429
24.6;6 Conclusion and Outlook;431
24.7;Acknowledgement;432
24.8;References;432
25;Towards Geovisual Analysis of Crime Scenes – A 3D Crime Mapping Approach;435
25.1;1 Introduction;435
25.2;2 Related Work;437
25.3;3 Mapping Crime in Three-Dimensional Geovirtual Urban Environments;439
25.4;n w w;446
25.5;1;446
25.6;. - - . . . . . . . . . . .. . .. - =;446
25.7;n S w x X w G;446
25.8;4 Conclusion;452
25.9;Acknowledgements;453
25.10;References;453