EuroSDR Projects - Host Ireland

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The pictures show the same display level of detail, but do not possess the same geocoding. To create reference data, an identical geocoding of corresponding images was necessary to display the pictures with pixel accuracy in the same position. This operation was carried out using ERDAS software from Leica Geosystems. It should be noted, however, that the information of interest in the contest is not a correct coordinate interpretation concerning terrestrial coordinates but the correct detection and interpretation of objects and their classification. Therefore a superordinate georeferencing based on terrestrial coordinates was not essential. SAR data sets from Copenhagen and Fjärdhundra were provided by DDRE, Copenhagen; the data set from Oberpfaffenhofen was provided by DLR-IHR, Oberpfaffenhofen; and the data set from Trudering was provided by AeroSensing GmbH (now Intermap). The optical data set form Trudering was provided by Bayerisches Landesvermessungsamt, Munich; from Oberpfaffenhofen by DLR-IHR; from Fjärdhundra by Lantmäteriet, Sweden; and finally the data set from Copenhagen was provided by KAMPSAX, DDOland Denmark. The acquisition times were different for the four test sites. Fjärdhundra imagery was taken in July 1995, Copenhagen in June 1996, Oberpfaffenhofen in May 1999 and finally the imagery from Trudering was taken in May 2000. 2.2 Additional Data In addition to SAR and optical data, ground truth data were needed as additional sources of information about test regions and object types. Therefore, topographic maps for the areas around the test sites were collected. Topographic maps are, in general, approximations in that small objects are broadened but they also include more detailed information about the type of land use and classification. Table 4 shows the topographic maps used to create the reference data for the four test areas. Test Site Map Name Scale Provider, Publication Date Copenhagen Danmark, 1514 II SØ, Holte 1:25.000 Kort- & Matrikelstyrelsen, 1995 Fjärdhundra Gröna kartan, Encöping 11H NV 1:50.000 Lantmäteriverket Gävle, 1993 Trudering München – Trudering, 7836 1:25.000 Bayrisches Landesvermessungsamt München, 1997 Oberpfaffenhofen Weßling, 7933 1:25.000 Bayrisches Landesvermessungsamt, 2002 190 Table 4: Topographic Maps for the test areas
The map of Sweden is only available at a scale of 1:50.000 because no larger scale was offered for this area. Furthermore, the maps from Germany were obtainable also as digital maps. The maps from Sweden and Denmark were digitized and georeferenced to be subsequently used in digital form. Figure 5 shows the used topographic maps. a) b ) c) d) Figure 5: Topographic Maps: a) Trudering, b) Oberpfaffenhofen, c) Copenhagen (scanned), d) Fjärdhundra (scanned) 191
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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
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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
Page 142 and 143: 140 Figure 4-19: Change map of Germ
Page 144 and 145: Figure 4-21: Diagnostics as given b
Page 146 and 147: 144 Automatic Accepted Rejected Hum
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 184 and 185: enzen mehr zu erwarten. Doch laut
Page 187 and 188: Abstract The EuroSDR “Sensor and
Page 189 and 190: 2 Test Sites and Test Data The test
Page 191: Figure 3: Data set Fjärdhundra, ag
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
Page 225 and 226: m and above no longer plays an impo
Page 227 and 228: 3 Test Data and Evaluation Criteria
Page 229 and 230: and straight enough. • Markus Ger
Page 231 and 232: Name (best) Test area Completeness
Page 233 and 234: • ADS40_1 and 2: Results for both
Page 235 and 236: • Ikonos1_Sub1: This image shows
Page 237 and 238: Figure 7: Ikonos3_Sub1 - Bacher; co
Page 239 and 240: Finally, we want to note some impor
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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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