EuroSDR Projects - Host Ireland

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124 Class Features Vegetation Ratio green Brightness Forest Brightness Meadow Not forest Shadow Brightness Field Area Standard deviation green Brightness Number of sub-objects Ratio red Bright Object Brightness Red Roof Ratio red Grey Object Brightness Mean Other urban object Not grey object Table 4-3: Features used in classification on level 2
Figure 4-7: Classification of 1994 orthoimages Figure 4-8: Subset of classification of 1994 orthoimages 125
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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
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 and 86: Sequeira, V., Ng, K., Wolfart, E.,
Page 87 and 88: Index of Figures Figure 2-1: Senaat
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 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
Page 136 and 137: different villages were identified
Page 138 and 139: 136 Figure 4-16: Change maps of Swi
Page 140 and 141: 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
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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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