EuroSDR Projects - Host Ireland

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enzen mehr zu erwarten. Doch laut „Change Map“ hatten wir wieder etliche Dinge übersehen, bzw. falsch interpretiert. Die stichprobenartige Überprüfung des Testgebietes mit Hilfe der „Change Map“ lieferte u.a. folgende Beispiele : Abb.01 : Weg übersehen; erst durch charakteristische Form in „ch_94_04_n1“ aufgefallen. Abb.02 : Teich aus DOP herkömmlich abgegrenzt; erst durch „ch_94_04_n2“ festgestellt, dass es sich um zwei getrennte Teiche handelt. Abb.03 : Weg übersehen; erst durch charakteristische Form in „ch_94_04_n1“ aufgefallen. Waldabgrenzung übersehen; erst durch „ch_94_04_n2“ festgestellt. Abb.04 : Wegverlegung übersehen; erst durch charakteristische Form in „ch_94_04_n1“ aufgefallen. Abb.05 : Waldabgrenzung übersehen; erst durch „ch_94_04_n2“ festgestellt. Abb.06 : Fehler in DKM; bei beiden „Bauflächen“, die als „LN“ ausgewiesen sind, sollte der Layer „HG“ gelöscht werden; erst durch „ch_94_04_n2“ festgestellt. Abb.07 : Waldabgrenzungen übersehen; wesentlicher „Kronenschluß“ erst durch „ch_94_04_n2“ verdeutlicht. Abb.08 : Wegverlegung; erst durch „ch_94_04_n1“ festgestellt; katastertechnisch aber problematisch Abb.09 : Gst. 1186 ist eine Verkehrsfläche, die im Kataster (GDB+DKM) irrtümlich als „Baufläche begrünt“ ausgewiesen ist; erst durch „ch_94_04_n1“ aufgezeigt; Fehler wäre wenn nicht durch Zufall, durch keine Prüfroutine entdeckt worden! Abb.10 : viele Flächen aus „ch_94_04_n1“ und „ch_94_04_n2“, die anfänglich verwirren, keine Relevanz für den Kataster haben, aber das hohe Informationspotential der „Change Map“ dokumentieren. Durch die Change Map wurden viele zusätzliche Mängel im Testgebiet aufgezeigt, die eine nochmalige flächendeckende Überarbeitung der BA/NU sinnvoll erscheinen lassen. Die meisten Differenzen wären im Nachhinein nur durch Zufall oder gar nie erkannt worden. Wäre die Change Map vorher verfügbar gewesen, wären durch den enormen Interpretationsgewinn viele Fehler gar nicht enstanden. Durch die Change Map wird in Verbindung mit DKM und DOP ein höchstmöglicher Informations- und Interpretationsgewinn erreicht, der durch herkömmliche (2D-) Luftbildinterpretation nie erlangt werden kann. Mit freundlichen Grüßen i.A. Karlheinz Kern 182
<strong>EuroSDR</strong>-Project Commission 2 “Image analysis and information content” In conjunction with IEEE GRSS data fusion technical committee (DFC) “Sensor and Data Fusion Contest Information for Mapping from Airborne SAR and Optical Imagery” Final Report on Phase I Report by Anke Bellmann and Olaf Hellwich Computer Vision & Remote Sensing - University of Technology, Berlin
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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
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Figure 3-18: Topological points and
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Detailed Description (Letters refer
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assumption is made: the two longest
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Figure 3-25: A 3D building model wi
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ICC used the same methods as Nebel
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where p75th is the value at the 75
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CyberCity Stuttgart Hamburg IGN ICC
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CyberCity Hamburg Stuttgart IGN ICC
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Height Cyber- City Hamburg Stuttgar
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Height Cyber- City Stuttgart IGN IC
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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
Page 134 and 135: 132 Figure 4-13: Orthophotos of stu
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Page 138 and 139: 136 Figure 4-16: Change maps of Swi
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Page 142 and 143: 140 Figure 4-19: Change map of Germ
Page 144 and 145: Figure 4-21: Diagnostics as given b
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Page 148 and 149: 4.4.2 Segmentation, classification
Page 150 and 151: differentiated very well. The chang
Page 152 and 153: 150 Figure 4-31: Ultracam real-colo
Page 154 and 155: 152 Figure 4-35: Classification of
Page 156 and 157: 154 Figure 4-38: Subset of change m
Page 158 and 159: 5 Conclusions and Outlook In this p
Page 161: Annex 1 EuroSDR Change Detection Wo
Page 164 and 165: What is the impact of changing spat
Page 167: Annex 2 Paper presented at IGARSS05
Page 170 and 171: covering 2 x 2 km with reference da
Page 172 and 173: 170 Red roof Bright object 0 20 40
Page 175: Annex 3 EuroSDR CD Workshop Nicosia
Page 178 and 179: 176 method 1 indicates land cover c
Page 181: Annex 4 Comments on change map by B
Page 187 and 188: Abstract The EuroSDR “Sensor and
Page 189 and 190: 2 Test Sites and Test Data The test
Page 191 and 192: Figure 3: Data set Fjärdhundra, ag
Page 193 and 194: The map of Sweden is only available
Page 195 and 196: 3.2 Accounting for Different Acquis
Page 197 and 198: 4 Analysis 4.1 Basic Information In
Page 199 and 200: 4.2.2 Linear Objects Since it is no
Page 201 and 202: 5 Results of Phase I 5.1 Test Site
Page 203 and 204: 5.1.2 Qualitative Comparison In add
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Page 207 and 208: 5.3 Test Site Oberpfaffenhofen 5.3.
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Page 211 and 212: cies in analysis. The following fig
Page 213 and 214: 5.4.2 Qualitative Comparison The ra
Page 215 and 216: Acknowledgments We thank all partic
Page 217: Index of Tables Table 1: Contest Ph
Page 221 and 222: Abstract Roads are important object
Page 223 and 224: overview over the whole area. We ra
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Page 227 and 228: 3 Test Data and Evaluation Criteria
Page 229 and 230: and straight enough. • Markus Ger
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Page 233 and 234: • 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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