Aspekty naukowo-badawcze i organizacyjne związane z dzialałnością Komisji III MTFiT "Teoria i algorytmy"

• Autorzy: Bujakiewicz A.
• Języki publikacji: PL

Abstrakty

PL

Zatwierdzone na XX Kongresie zmiany w strukturze i zakresach nowych Komisji były spowodowane tym, że zawarta w nich szeroka tematyka wymaga rozwijania podstaw teoretycznych nowych podejść oraz opracowania algorytmów i technologii dla bardzo szerokiego wachlarza różnych zadań, problemów i zastosowań zawartych w działalności poszczególnych Komisji. Zatem dotychczas stosowany tytuł Komisji III - ‘Teoria i algorytmy’, który zawierał podstawy teoretyczne dotyczące bardzo szerokiego zakresu zagadnień zawartych w większości innych Komisji, musiał być zrewidowany i zmieniony. Komisja III została nazwana ‘Fotogrametryczne widzenie komputerowe i analiza obrazu’. Prezydentem tej Komisji na lata 2004 – 2008 został Prof. Wolfgang Forstner z University of Bonn. W latach 2000 – 2004, działalność Komisji III – Teoria i algorytmy, była realizowana w ośmiu Grupach Roboczych, pod przewodnictwem Prof. Franz Leberl z Graz University of Technology. W trakcie trwania Kongresu w Istambule, z grupy referatów dotyczących III Komisji, opublikowanych w drukowanym i elektronicznym wydaniu materiałów kongresowych (International Archives of Photogrammetry and Remote Sensing, Volume XXXV, B3), zostało przedstawionych ogółem 214 referatów, w tym 47 referatów w sesjach audytoryjnych oraz 167 prezentacji w sesjach posterowych.

Słowa kluczowe

PL

Komisja III; algorytm; teoria

EN

Commission III; algorithm; theory

• Wydawca: Zarząd Główny Stowarzyszenia Geodetów Polskich
• Czasopismo: Archiwum Fotogrametrii, Kartografii i Teledetekcji
• Rocznik: 2004
• Tom: Vol. 14
• Strony: 1--9
• Opis fizyczny: Bibliogr. 76 poz.

Twórcy

autor

Bujakiewicz A.

Bibliografia

• 1. ISPRS Highlights Vol. 9, No. 3, 2004
• 2. Gruen A., ‘2.5D Mapping to 3D Modelling, Photogrammetry: A Technology Whose Time Has Come’; Invited paper – Plenary Session I.
• 3. Hirzinger G., ‘From Robot Vision to Multi-sensory 3D World Modeling’. Invited paper – Plenary Session II.
• 4. Zhang J...., Exterior Orientation for Remote Sensing Image with High Resolution by Linear Feature.
• 5. Forstner W, ‘Mapping on Demand’. Invited Paper w referatach Grupy Roboczej III/4.
• 6. Akav A. .., Linear Feature Based Aerial Triangulation
• 7. Jung F. i inni, Bundle Adjustment and Incidence of Linear Features of External Calibration Parameters.
• 8. Delara R i inni, Bundle Adjustment of Images from Non Metric CCD Camera Using Lidar Data as Control Points.
• 9. Zhang J i inni, Block Adjustment Based on New Strict Geometric Model of Satellite Images with High Resolution.
• 10. Van de Woestyne i inni, A Software System for Efficient DEM Segmentation and DTM Estimation in Complex Urban Areas.
• 11. Oki S i inni, Evaluation of DSM Generated from QuickBird Stereo Imagery.
• 12. Karabork H i inni, Investigation of Accuracy for Digital Elevation Models Generated with Different Methods in Photogrammetry.
• 13. Zhang L., Gruen A., Automatic DSM Generation from Linear Imagery Data.
• 14. Dare P.M. Investigation of Geometric Constrains for Matching High Resolution Satellites Images.
• 15. Zhu L i inni, Triplet Image Matching for Airborne Digital Sensor ADS40.
• 16. Thurgood J.D i inni, Multi Ray Matching for Automated 3D Object Modeling.
• 17. Beder C., A Unified Framework For the Automatic Matching of Points and Lines in Multiple Oriented Images.
• 18. Hansen v. W i inni, Detailed Relief Modeling of Building Facades from Video Sequences.
• 19. Mian A.S i inni, Automatic Correspondence and Global Registration of Range Images for 3D Modeling.
• 20. Wang Z., Using Stereo Images to Densify Lidar Data Points at Where Needed.
• 21. Ruitz A i inni, Terrain Modeling in an Extremely Steep Mountain: A Combination of Airborne and Terrestrial Lidar.
• 22. Jiang B., Extraction of Spatial Objects from Laser Scanning Data Using a Clustering Technique.
• 23. Schwalbe E., 3D Building Model Generation from Airborne LaserScanner Data by Straight Line Detection in Specific Orthogonal Projections.
• 24. Clode S. I inni, The Automatic Extraction of Roads from Lidar Data.
• 25. Badea D, Jacobson K., Using Break Line Information in Filtering Process of a Digital Surface Model.
• 26. Bretar F. i inni, Terrain Modeling and Airborne Laser Data Classification Using Multiple Pass Filtering.
• 27. Marmol U., Jachimski J., A FFT Based Method of Filtering Airborne Laser Scanner Data.
• 28. Ahokas E. I inni, A Quality Assessment of Repeated Airborne Laser Scanner Observations.
• 29. Hinz S., Automatic Road Extraction in Urban Scenes – and Beyond.
• 30. Gao J., Wu L., Automatic Extraction of Road Networks in Urban Areas from IKONOS Imagery Based on Spatial Reasoning.
• 31. Hu X. i inni, Automatic Road Extraction from Dense Urban Area by Integrated Processing of High Resolution Imagery and Lidar Data.
• 32. Marganoz. A.M. i inni, Object Oriented Image Analysis and Semantic Network For Extracting the Roads and Buildings from Ikonos PAN Sharpened.
• 33. Wessel B., Road Network Extraction from SAR Imagery Supported by Context Information.
• 34. Bacher U., Mayer H., Automatic Road Extraction from IRS Satellite Images in Agricultural and Desert Areas.
• 35. Bellman C.J., Shortis M.R., A Classification Approach to Finding Buildings in Large Scale Aerial Photographs.
• 36. Taillandier F., Deriche R., Automatic Building Reconstruction from Aerial Images.
• 37. Lhomme S. I inni, Building Extraction from Very High Spatial Resolution Image.
• 38. Sohn G., Extraction of Buildings from High resolution Satellite Data and Lidar.
• 39. Cho W. i inni, Pseudo Grid Based Building Extraction Using Airborne Lidar Data.
• 40. Tovari D., Vogtle T., Classification Methods for 3D Objects in Laserscanning Data.
• 41. Julge K., Brenner C., Object Extraction from Terrestrial Laser Scan Data for a Detailed Building Description.
• 42. Khoshelham K., Building Extraction from Multiple Data Sources: Data Fusion Framewoek For Reconstruction of Generic Models.
• 43. Zhang Y., Wang R., Multi resolution and Multi Spectral Image Fusion for Urban Object Extraction.
• 44. Guler M.A., Turker M., Detection of the Earthquake Damaged Buildings from Post Event Aerial Photographs Using Perceptual Grouping.
• 45. Sakamoto M.i inni, Detection of Collapsed Buildings Due to Eartquake in Urban Areas.
• 46. Zhang Y.J., Extraction of Wind Erosion Obstacles by Integrating GIS Data and Stereo Images.
• 47. Reulke R. i inni, High Resolution Mapping Using CCD lone Camera and Laser Scanner with Integrated Position and Orientation System.
• 48. Zhao H., Shibasaki R., Updating Digital Geographic Database Using Vehicle Born Laser Scanners and Line Cameras.
• 49. Rottensteiner F. i inni, Fusing Airborne Laser Scanner Data and Aerial Imagery for the Automatic Extraction of Buildings in densely Built – up Areas
• 50. Eker O., Seker D,Z., Semi – Automatic Road Extraction from Digital Aerial Photographs.
• 51. Soergel U i inni, SAR Data Acquisition for Event – Driven Mapping of Urban Areas Using GIS.
• 52. Eissenbeiss H. I inni, Potential of IKONOS and QuckBird Imagery for Accurate 3D Point Positioning, Orthoimage and DSM Generation.
• 53. Dold C., Brenner C., Automatic Matching of Terrestrial Scan Data as a Basis for the Generation of Detailed 3D City Models.
• 54. Dogan R i inni, 3D Visualization and Query Tool for 3D City Models.
• 55. Koehl M., Gaiotti V., Geometric and Thematic Enrichment of Frontages in 3D City Models.
• 56. Fu C., Shan J., 3D Building Reconstruction from Unstructured Distinct Points.
• 57. Haala N., On the Refinment of Urban Models by Terrestrial Data Collection.
• 58. Deng F i inni, Construction #D Urban Model from Lidar and Image Sequence.
• 59. Mason T.J., Rapid Mapping of the 3D Urban Environment.
• 60. Klinec D., A Model Based Approach for Orientation in Urban Environments.
• 61. Yang I.T. i inni, Analysis on Effects of Seoul Metropolitan Subway Station by Using GIS and RS.
• 62. Kabdasli M. I inni, Application of Digital Photogrammetry and Image Processing Techniques for Hydraulic Model Experiments.
• 63. Wang L. I inni, Economic Globalization and a Case of the Urban Land Use Growth of Wuhan, PR China.
• 64. Zhu O. I inni, Data Management and Real –Time Applications of 3D City Models.
• 65. Balkanay O, Evaluation of the Build-up Areas in the Historic Urban Pattern by Using GI Technologies
• 66. Borlin N i inni, Pros and Cons of Constrained and Unconstrained Formulation of the Bundle Adjustment.
• 67. Pothou A. I inni, Performance Evaluation of Multiple scale Automatic Aerial Triangulation.
• 68. Dunkel S. I inni, Automatic Aerial Triangulation – Report of a Large Project under Difficult Conditions.
• 69. Jancso T, Gross Error Detection of Control Points with Direct Analytical Method.
• 70. Fuse T. I inni, Comparative Analysis of Area-Based Image Matching Techniques for High Resolution Satellite Imagery.
• 71. Pinxiang L. I inni, A Method of Image Resolution Enhancement Based on the Matching Technique.
• 72. Law K.H., Nichol J., Topographic Correction for Differential Illumination Effects on Ikonos Satellite Imagery.
• 73. Matsuoka R. i inni, Quantitative Analysis of Image Quality of Lossy Compression Images.
• 74. Skarlatos D., Georgopoulos A, Least Squares Matching using Elliptical Areas: Results, Accuracy, Advanyages and Disadvantages.
• 75. WeiLu K i inni, Triangle-Based Visibility Analysis and True Orthoimage Generation.
• 76. Wolf J.A.H, Generating True Orthoimages without a 3D Surface Model.