EuroSDR Projects - Host Ireland

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4 RESULTS..................................................................................................................................... 43 4.1 Level of Detail .................................................................................................................... 43 4.1.1 Number of Targets ................................................................................................... 43 4.1.2 Extracted Building Vectors...................................................................................... 44 4.2 Geometric Accuracy ...........................................................................................................48 4.2.1 Building Location .................................................................................................... 48 4.2.2 Building Height........................................................................................................ 65 4.2.3 Building Length ....................................................................................................... 68 4.2.4 Roof Inclination ....................................................................................................... 71 4.3 Total Relative Building Area and Shape Dissimilarity....................................................... 73 5 DISCUSSION AND CONCLUSIONS....................................................................................... 75 ACKNOWLEDGMENTS.................................................................................................................. 76 REFERENCES ................................................................................................................................... 77 K. Steinnocher and F. Kressler: CHANGE DETECTION ............................................................ 111 ABSTRACT ...................................................................................................................................... 113 1 INTRODUCTION ..................................................................................................................... 113 2 PROJECT HIGHLIGHTS ....................................................................................................... 114 3 METHODOLOGY.................................................................................................................... 114 3.1 Segmentation .................................................................................................................... 115 3.2 Object-oriented classification ........................................................................................... 115 3.3 Comparison classification – land use data ........................................................................ 117 3.4 Contributions of project partners ...................................................................................... 118 4 CASE STUDIES ........................................................................................................................ 118 4.1 Austria .............................................................................................................................. 119 4.1.1 Data and study area................................................................................................ 119 4.1.2 Segmentation.......................................................................................................... 122 4.1.3 Classification.......................................................................................................... 123 4.1.4 Change map ........................................................................................................... 126 4.1.5 Evaluation of change map...................................................................................... 128 4.2 Switzerland ....................................................................................................................... 131 4.2.1 Data and Study Area .............................................................................................. 131 4.2.2 Segmentation, classification and comparison ........................................................ 133 4.3 Germany ........................................................................................................................... 137
4.3.1 Data and study area................................................................................................ 137 4.3.2 Segmentation, classification and comparison ........................................................ 137 4.3.3 A comparison of change detection methods and analysis of results (by Andreas Busch from BKG)............................................................................. 140 4.4 Denmark ........................................................................................................................... 145 4.4.1 Data and study area................................................................................................ 145 4.4.2 Segmentation, classification and comparison ........................................................ 146 4.5 Additional applications..................................................................................................... 148 4.5.1 Digital Scanner....................................................................................................... 148 4.5.1.1 Data and study area.................................................................................. 148 4.5.1.2 Segmentation, classification and comparison .......................................... 148 5 CONCLUSIONS AND OUTLOOK......................................................................................... 156 REFERENCES ................................................................................................................................. 157 ANNEX 1 EUROSDR CHANGE DETECTION WORKSHOP VIENNA, JUNE, 16 TH -17 TH 2005 MINUTES ............................................................................ 159 ANNEX 2 PAPER PRESENTED AT IGARSS05, JULY, 25 TH -29 TH 2005, SEOUL KRESSLER, F., FRANZEN, M. AND STEINNOCHER, K. ................................. 165 ANNEX 3 EUROSDR CD WORKSHOP NICOSIA 2005, OCTOBER, 25 TH 2005 MINUTES................................................................................................................... 173 ANNEX 4 COMMENTS ON CHANGE MAP BY BEV........................................................... 179 A. Bellmann and O. Hellwich: SENSOR AND DATA FUSION CONTEST: INFORMATION FOR MAPPING FROM AIRBORNE SAR AND OPTICAL IMAGERY (PHASE 1) ............. 183 ABSTRACT ...................................................................................................................................... 185 1 INTRODUCTION ..................................................................................................................... 185 1.1 Aim of the Project............................................................................................................. 185 1.2 Contest Phases .................................................................................................................. 186 1.3 Participants ....................................................................................................................... 186 2 TEST SITES AND TEST DATA ............................................................................................. 187 2.1 Specification of the Test Data........................................................................................... 187 2.2 Additional Data................................................................................................................. 190
Page 1 and 2: European Spatial Data Research Nove
Page 3 and 4: PRESIDENT 2006 - 2008: Stig Jönsso
Page 5: H. Kaartinen and J. Hyyppä: EVALUA
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 and 28: Figure 3-4: Sequence of manual phot
Page 29 and 30: Figure 3-8: Workflow of laser scann
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
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Height Cyber- City HamburgStuttgart
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Height Cyber- City HamburgStuttgart
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All targets Eaves Ridges Height IGN
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CyberCity achieved a good quality i
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Point density, shadowing of trees a
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Height accuracy IQR [m] 1.6 1.4 1.2
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All Cyber- Ham- ICC laser+ Nebel+ I
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All Cyber- HamStutt- ICC laser+ Neb
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In building length determination (F
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degrees, std 6.3 degrees). In Senaa
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5 Discussion and Conclusions It can
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References Alharthy A. and Bethe, J
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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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EuroSDR Projects - Host Ireland

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