EuroSDR Projects - Host Ireland

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Oda, K., Takano, T., Doihara, T. and Shibasaki, R., 2004. Automatic building extraction and 3D city modeling from lidar data based on Hough transformation. IAPRS 35(B3:III): 277-280. Oriot, H. and Michel, A., 2004. Building extraction from stereoscopic aerial images. Applied Optics 43(2):218-226. Overby, J., Bodum, L., Kjems, E. and Ilsøe, P.M., 2003. Automatic 3D building reconstruction from airborne laser scanning and cadastral data using Hough transform. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXV(B3), 6 p. Paparoditis, N., Cord, M., Jordan, M. and Cocquerez, J.P., 1998. Building detection and reconstruction from mid- and high-resolution aerial imagery. Computer Vision and Image Understanding 72(2):122-142. Peternell, M. and Steiner, T., 2004. Reconstruction of piecewise planar objects from point clouds. Computer-aided Design 36(4):333-342. Rottensteiner, F., 2000. Semi-automatic building reconstruction integrated in strict bundle block adjustment. International Archives of Photogrammetry and Remote Sensing, XXXIII(B2/2):461-468. Rottensteiner, F., 2003. Automatic generation of high-quality building models from lidar data. IEEE Computer Graphics and Applications 23(6): 42-50. Rottensteiner, F., Trinder, J., Clode, S. and Kubik, K., 2003. Detecting buildings and roof segments by combining LIDAR data and multispectral images. http://sprg.massey.ac.nz/ivcnz/Proceedings/IVCNZ_12.pdf Rottensteiner, F., Trinder, J., Clode, S. and Kubik, K., 2005. Using the Dempster-Shafer method for the fusion of LIDAR data and multi-spectral images for building detection. Information Fusion, 6(4): 283-300. Rottensteiner, F., Trinder, J., Clode, S. and Kubik, K., 2004. Fusing airborne laser scanner data and aerial imagery for the automatic extraction of buildings in densely built-up areas. IAPRS 35(B3:III):512-517. Rottensteiner, F. and Briese, Ch., 2002. A new method for building extraction in urban areas from high-resolution lidar data. Symposium der ISPRS-Comm. III, Graz, 9-13 September 2002. IAPRS XXXIV(3A):295-301. Rottensteiner, F. and Jansa, J., 2002. Automatic extraction of buildings from lidar data and aerial images. http://www.ipf.tuwien.ac.at/publications/fr_jj_ottawa_02.pdf Sahar, L. and Krupnik, A., 1999. Semiautomatic extraction of building outlines from large-scale aerial images. PE & RS 65(4):459-465. Schwalbe, E., 2004. 3d Building Model Generation from Airborne Laserscanner Data by Straight Line Detection in Specific Orthogonal Projections. Proceedings of the XXth ISPRS Congress, July 2004, Istanbul, Turkey, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXV(B3/III): 249-254. 82
Sequeira, V., Ng, K., Wolfart, E., Goncalves, J.G.M. and Hogg, D., 1999. Automated reconstruction of 3D models from real environments. ISPRS Journal of Photogrammetry and Remote Sensing 54(1):1-22. Shufelt, J.A., 1999. Performance evaluation and analysis of monocular building extraction from aerial imagery. IEEE Transactions on Pattern Analysis and Machine Intelligence 21(4):311-326. Sinning-Meister, M., Grün, A. and Dan, H.,1996. 3D City models for CAAD-supported analysis and design for urban areas. ISPRS Journal of Photogrammetry and Remote Sensing 51:196-208. Sohn G., 2004. Extraction Of Buildings from High-resolution Satellite Data and Lidar. Proceedings of the XXth ISPRS Congress, July 2004, Istanbul, Turkey, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXV(B3/III):1036- 1042. Stilla, U. and Jurkiewicz, K., 1999. Reconstruction of building models from maps and laser altimeter data. Lecture Notes on Computer Science 1737:34-46. Süveg, I. and Vosselman, G., 2004. Reconstruction of 3D building models from aerial images and maps. ISPRS Journal of Photogrammetry and Remote Sensing 58(3-4):202-224. Söderman, U., Ahlberg, S., Elmqvist, M. and Persson, Å., 2004. Three-dimensional environment models from airborne laser radar data. Proceedings of SPIE Defense and Security Symposium, vol. 5412, 12. p. http://www.sne.foi.se/documents/SNE_SPIE_DS_04.pdf Taillandier, F. and Deriche, R., 2004. Automatic building extraction from aerial images: a generic Bayesian framework. IAPRS 35(B3:III):343-348. Takase, Y., Yano, K., Kawahara, N. et al., 2004. Reconstruction and visualization of ”virtual timespace of Kyoto”, A 4D-GIS of the city. Proceedings of the XXth ISPRS Congress, July 2004, Istanbul, Turkey, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXV(B5): 6 p. Tan, G. and Shibasaki, R., 2002. A research for the extraction of 3D urban building by using airborne laser scanner data. Proceedings of the 23rd Asian Conference on Remote Sensing 2002. TerraSolid, 2003. TerraScan User’s Guide. Tsay, J.-R., 2001. A consept and algorithm for 3D city surface modelling. ISPRS Commission III/WGIII/2, 4 p. http://www.isprs.org/commission3/proceedings02/papers/paper092.pdf Tseng, Y.H. and Wang, S.D., 2003. Semiautomated building extraction based on CSG model-image fitting. Photogrammetric Engineering and Remote Sensing 69(2):171-180. Vosselman, G., 2002. Fusion of Laser Scanning Data, Maps, and Aerial Photograps for Building Reconstruction. http://www.geo.tudelft.nl/frs/papers/2002/vosselman.igarss02.pdf Vosselman, G. and Dijkman, S., 2001. 3D building model reconstruction from point clouds and ground plans. IAPRS 34(3W4):37-43. 83
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European Spatial Data Research Nove
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PRESIDENT 2006 - 2008: Stig Jönsso
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H. Kaartinen and J. Hyyppä: EVALUA
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4.3.1 Data and study area..........
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2 QUESTIONNAIRES...................
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Abstract The objective of the EuroS
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The analysis of the structural qual
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Figure 2-3: Hermanni test site. Fig
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Espoonlahti Hermanni Senaatti Photo
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2.2 Reference Data 2.2.1 Field Meas
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Used data Time use Laser Aerial Gro
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Step 3: Import to CCModeler Figure
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Figure 3-4: Sequence of manual phot
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Figure 3-8: Workflow of laser scann
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Figure 3-11: Parametric building mo
Page 33 and 34: Each group of connected pixels clas
Page 35 and 36: Figure 3-18: Topological points and
Page 37 and 38: Detailed Description (Letters refer
Page 39 and 40: assumption is made: the two longest
Page 41 and 42: Figure 3-25: A 3D building model wi
Page 43 and 44: ICC used the same methods as Nebel
Page 45 and 46: where p75th is the value at the 75
Page 47 and 48: CyberCity Stuttgart Hamburg IGN ICC
Page 49 and 50: CyberCity Hamburg Stuttgart IGN ICC
Page 51 and 52: Height Cyber- City Hamburg Stuttgar
Page 53 and 54: Height Cyber- City Stuttgart IGN IC
Page 55 and 56: Height Cyber- City Stuttgart IGN IC
Page 57 and 58: Height Cyber- City HamburgStuttgart
Page 59 and 60: Height Cyber- City HamburgStuttgart
Page 61 and 62: All targets Eaves Ridges Height IGN
Page 63 and 64: CyberCity achieved a good quality i
Page 65 and 66: Point density, shadowing of trees a
Page 67 and 68: Height accuracy IQR [m] 1.6 1.4 1.2
Page 69 and 70: All Cyber- Ham- ICC laser+ Nebel+ I
Page 71 and 72: All Cyber- HamStutt- ICC laser+ Neb
Page 73 and 74: In building length determination (F
Page 75 and 76: degrees, std 6.3 degrees). In Senaa
Page 77 and 78: 5 Discussion and Conclusions It can
Page 79 and 80: References Alharthy A. and Bethe, J
Page 81 and 82: Fraser, C.S., Baltsavias, E. and Gr
Page 83: Khoshelham K., 2004. Building Extra
Page 87 and 88: Index of Figures Figure 2-1: Senaat
Page 89: Index of Tables Table 2-1: Aerial i
Page 92 and 93: 90 Senaatti by Delft. Wireframe mod
Page 94 and 95: 92 Espoonlahti by IGN, with and wit
Page 96 and 97: 94 Senaatti by IGN, with and withou
Page 98 and 99: 96 Hermanni by Aalborg.
Page 100 and 101: 98 CyberCity ICC laser+aerial ICC l
Page 102 and 103: 100 IGN FOI outlines Nebel+Partner
Page 105 and 106: Difference Images, Whole Test Site,
Page 107 and 108: Difference Images, Whole Test Site,
Page 109 and 110: Difference Images, Modelled Buildin
Page 111 and 112: Difference Images, Modelled Buildin
Page 113: EuroSDR-Project Commission 2 “Ima
Page 116 and 117: 2 Project highlights The project Ch
Page 118 and 119: 116 Feature Characteristics Object
Page 120 and 121: New are those combinations that ind
Page 122 and 123: 120 Figure 4-1: Orthophotomosaic fr
Page 124 and 125: 4.1.2 Segmentation The first step o
Page 126 and 127: 124 Class Features Vegetation Ratio
Page 128 and 129: 4.1.4 Change map As the results of
Page 130 and 131: Two types of changes were assigned
Page 132 and 133: 130 Figure 4-11: Evaluation of chan
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132 Figure 4-13: Orthophotos of stu
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different villages were identified
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136 Figure 4-16: Change maps of Swi
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spectral reflectance. Shadows (blac
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140 Figure 4-19: Change map of Germ
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Figure 4-21: Diagnostics as given b
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144 Automatic Accepted Rejected Hum
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4.4.2 Segmentation, classification
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differentiated very well. The chang
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150 Figure 4-31: Ultracam real-colo
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152 Figure 4-35: Classification of
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154 Figure 4-38: Subset of change m
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5 Conclusions and Outlook In this p
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Annex 1 EuroSDR Change Detection Wo
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What is the impact of changing spat
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Annex 2 Paper presented at IGARSS05
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covering 2 x 2 km with reference da
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170 Red roof Bright object 0 20 40
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Annex 3 EuroSDR CD Workshop Nicosia
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176 method 1 indicates land cover c
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Annex 4 Comments on change map by B
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enzen mehr zu erwarten. Doch laut
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Abstract The EuroSDR “Sensor and
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2 Test Sites and Test Data The test
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Figure 3: Data set Fjärdhundra, ag
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The map of Sweden is only available
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3.2 Accounting for Different Acquis
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4 Analysis 4.1 Basic Information In
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4.2.2 Linear Objects Since it is no
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5 Results of Phase I 5.1 Test Site
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5.1.2 Qualitative Comparison In add
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140,0 120,0 100,0 80,0 60,0 40,0 20
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5.3 Test Site Oberpfaffenhofen 5.3.
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140,0 120,0 100,0 80,0 60,0 40,0 20
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cies in analysis. The following fig
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5.4.2 Qualitative Comparison The ra
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Acknowledgments We thank all partic
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Index of Tables Table 1: Contest Ph
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Abstract Roads are important object
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overview over the whole area. We ra
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m and above no longer plays an impo
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3 Test Data and Evaluation Criteria
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and straight enough. • Markus Ger
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Name (best) Test area Completeness
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• ADS40_1 and 2: Results for both
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• Ikonos1_Sub1: This image shows
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Figure 7: Ikonos3_Sub1 - Bacher; co
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Finally, we want to note some impor
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load nor response time for anybody
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Zhang, C., 2004. Towards an Operati
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objects, and their cooperation with
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Belgium, provided by their NMCAs. H
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Possibly only parts of images will
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How many people are employed in you
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7. What is the average time differe
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- what is the degree of completenes
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Appendix 3: Questionnaire for Resea
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If others please specify: 2. What d
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Complex crossings (more than 4 road
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Combination of a) or b) with c) [0]
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If yes, using: DTM and / or [2] D
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Appendix 4: General Characteristics
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Most important features for practic
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IKONOS The images come from the SI
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Appendix 6: Documentation by Beumie
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Appendix 8: Documentation by Zhang
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LIST OF OEEPE/EuroSDR OFFICIAL PUBL
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25 Ducher, G.: Test on Orthophoto a
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EuroSDR Projects - Host Ireland

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