EuroSDR Projects - Host Ireland

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Vosselman, G. and Süveg, I., 2001. Map based building reconstruction from laser data and images. Automatic Extraction of Man-Made Objects from Aerial and Space Images (III), Ascona, Switzerland, June 11-15, Balkema Publishers, pp. 231-239. Wang, X. and Grün, A., 2003. A hybrid GIS for 3D city models. IAPRS 33(4/3):1165-1172. Weidner, U. and Förstner, W., 1995. Towards automatic building extraction from high-resolution digital elevation models. ISPRS Journal of Photogrammetry and Remote Sensing 50(4):38-49. Zhan, Q., Molenaar, M. and Tempfli, K., 2002. Building extraction from laser data by reasoning on image segments in elevation slices. International Archives of Photogrammetry and Remote Sensing, XXXIV(3,B):305-308. Zhang, Y. and Wang, R., 2004. Multi-resolution and Multi-spectral Image Fusion for Urban Object Extraction. Proceedings of the XXth ISPRS Congress, July 2004, Istanbul, Turkey, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXV(B3/III):960-966. Zhao, H.J. and Shibasaki, R., 2003. Reconstructing a textured CAD model of an urban environment using vehicle-born range scanners and line cameras. Machine Vision and Applications 14(1):35-41. 84
Index of Figures Figure 2-1: Senaatti test site. ................................................................................................................ 14 Figure 2-2: Senaatti test site (TopoSys-1). As can be seen, ground plans are shown in advance for selected buildings............................................................................................................ 14 Figure 2-3: Hermanni test site. ............................................................................................................. 15 Figure 2-4: Hermanni test site (TopEye). ............................................................................................. 15 Figure 2-5: Espoonlahti test site. .......................................................................................................... 16 Figure 2-6: Espoonlahti test site (TopoSys Falcon)..............................................................................16 Figure 2-7: Amiens test site.................................................................................................................. 18 Figure 2-8: Amiens test site (TopoSys). ............................................................................................... 18 Figure 3-1: Work- and Dataflow CC-Modeler ................................................................................. 22 Figure 3-2: Point definition in CC-Modeler. ........................................................................................ 23 Figure 3-3: Workfow of photogrammetric data processing using SOCET Set on the DPW770. ......... 24 Figure 3-4: Sequence of manual photogrammetric point measurements for peaked roofs (BAE Systems, 2000). ............................................................................................................... 25 Figure 3-5: Sequence of manual photogrammetric point measurement for gabled roofs (BAE Systems, 2000). ............................................................................................................... 25 Figure 3-6: Breaking down a complex building into simpler components (BAE Systems, 2000). ...... 26 Figure 3-7: Geometrical corrections and modelling of photogrammetrically measured buildings using AutoCAD 2000...................................................................................................... 26 Figure 3-8: Workflow of laser scanning data processing using TerraScan........................................... 27 Figure 3-9: Superimposed aerial images and generated roof boundaries. Manual change of the position of the yellow roof. ............................................................................................. 27 Figure 3-10: Building boundary types of roofs..................................................................................... 28 Figure 3-11: Parametric building models (here saddleback-roof building). ......................................... 29 Figure 3-12: Polyhedral flat-roof building. a) First five corners are measured. b) The whole roof outline is measured and with one matched ground point the walls are derived. ............. 29 Figure 3-13: Building extraction with inJECT with parametric and polyhedral building models and textured 3D view in a VRML Browser (Student exercise by A. Novacheva and S.H. Foo)................................................................................................................................. 29 Figure 3-14: (a) Classified building ground plan. (b) DSMzmin.......................................................... 31 Figure 3-15: The roof segments............................................................................................................ 32 Figure 3-16: Topological points (triangles), intersection lines (thicker) and height jump sections of the building. .................................................................................................................... 32 Figure 3-17: Left: Estimated lines for a jump section. Right: Lines adjusted according the orientation of the plane.................................................................................................... 32 Figure 3-18: Topological points and estimated vertices along height jump sections (triangles). ......... 33 Figure 3-19: The 3D model output from the building reconstruction algorithm. ................................. 33 Figure 3-20: Work flow used by C+B Technik in building extraction. ................................................ 34 Figure 3-21: Types of buildings to be modelled................................................................................... 36 Figure 3-22: Building model algorithm by Dresden............................................................................. 37 Figure 3-23: A building’s point cloud with TIN-structure. .................................................................. 38 Figure 3-24: Clusters in the parameter space........................................................................................ 38 Figure 3-25: A 3D building model with TIN-structure......................................................................... 39 Figure 4-1: Extracted buildings of Espoonlahti. ................................................................................... 45 Figure 4-2: Extracted buildings of Hermanni. ...................................................................................... 46 Figure 4-3: Extracted buildings of Senaatti. ......................................................................................... 47 Figure 4-4: Extracted buildings of Amiens........................................................................................... 48 Figure 4-5: Location accuracy (IQR) of the models with respect to single points. .............................. 60 85
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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
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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 and 84: Khoshelham K., 2004. Building Extra
Page 85: Sequeira, V., Ng, K., Wolfart, E.,
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
Page 134 and 135: 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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