EuroSDR Projects - Host Ireland

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Figure 3-6: Breaking down a complex building into simpler components (BAE Systems, 2000). Figure 3-7: Geometrical corrections and modelling of photogrammetrically measured buildings using AutoCAD 2000. 3.1.2.4 Nebel+Partner GmbH Nebel+Partner used TerraScan software by Terrasolid to extract buildings using laser scan data (Figure 3-8). All measurements and modelling was performed by an inexperienced person. Aerial images were not used for any measurements. Image crops were only used as superimposed images for better visual interpretation of the laser point clouds during the measurement of the roofs. Before manual measurements with the point clouds, each laser point set was automatically classified as buildings, ground elevation, and high, medium and low vegetation by TerraScan. In the TerraScan software tool - Construct Building - an algorithm automatically finds roofs based on laser hits on planar surfaces of the roofs, which results in vectorized planes of each roof. Roof boundaries can also be created or modified manually (Figure 3-9). 26
Figure 3-8: Workflow of laser scanning data processing using TerraScan. Figure 3-9: Superimposed aerial images and generated roof boundaries. Manual change of the position of the yellow roof. 27
Page 1 and 2: European Spatial Data Research Nove
Page 3 and 4: PRESIDENT 2006 - 2008: Stig Jönsso
Page 5 and 6: H. Kaartinen and J. Hyyppä: EVALUA
Page 7 and 8: 4.3.1 Data and study area..........
Page 9: 2 QUESTIONNAIRES...................
Page 13 and 14: Abstract The objective of the EuroS
Page 15 and 16: The analysis of the structural qual
Page 17 and 18: Figure 2-3: Hermanni test site. Fig
Page 19 and 20: Espoonlahti Hermanni Senaatti Photo
Page 21 and 22: 2.2 Reference Data 2.2.1 Field Meas
Page 23 and 24: Used data Time use Laser Aerial Gro
Page 25 and 26: Step 3: Import to CCModeler Figure
Page 27: Figure 3-4: Sequence of manual phot
Page 31 and 32: 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
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Khoshelham K., 2004. Building Extra
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Sequeira, V., Ng, K., Wolfart, E.,
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Index of Figures Figure 2-1: Senaat
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Index of Tables Table 2-1: Aerial i
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90 Senaatti by Delft. Wireframe mod
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92 Espoonlahti by IGN, with and wit
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94 Senaatti by IGN, with and withou
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96 Hermanni by Aalborg.
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98 CyberCity ICC laser+aerial ICC l
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100 IGN FOI outlines Nebel+Partner
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Difference Images, Whole Test Site,
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Difference Images, Whole Test Site,
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Difference Images, Modelled Buildin
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Difference Images, Modelled Buildin
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EuroSDR-Project Commission 2 “Ima
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2 Project highlights The project Ch
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116 Feature Characteristics Object
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New are those combinations that ind
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120 Figure 4-1: Orthophotomosaic fr
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4.1.2 Segmentation The first step o
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124 Class Features Vegetation Ratio
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4.1.4 Change map As the results of
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Two types of changes were assigned
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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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