EuroSDR Projects - Host Ireland

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Height Cyber- City HamburgStuttgart IGN ICC laser+ aerial Nebel+ Partner ICC laser Delft C+B FOI Technik Dresden outlines FOI N 56 34 21 29 42 38 28 39 13 5 15 32 Min 2 -78 -54 -81 -112 -112 -113 -122 -53 3 -146 -149 Max 59 94 50 39 50 50 134 1462 1369 30 115 237 Median 21 14 1 11 2 1 9 13 54 7 20 -18 Mean 24 13 1 3 0 -4 13 75 276 13 16 -16 STD 14 39 31 26 27 27 42 327 495 11 60 68 IQR 16 42 57 34 16 16 30 37 239 17 27 44 R 2 Outliers removed 0.9996 0.9959 0.9969 0.9982 0.9975 0.9979 0.9947 0.8355 0.8898 0.8580 0.9923 0.9871 N 55 33 28 36 34 25 36 11 12 27 Min 2 -60 -38 -28 -31 -28 -47 -53 -34 -67 Max 52 94 39 31 28 61 44 271 44 59 Median 20 14 13 2 2 9 10 36 18 -15 Mean 23 16 6 2 1 11 4 77 14 -16 STD 13 37 20 13 14 23 24 109 25 32 IQR 16 42 33 10 ICC 13 30 35 110 27 30 North Cyber- City HamburgStuttgart IGN laser+ aerial Nebel+ Partner ICC laser Delft C+B FOI Technik Dresden outlines FOI N 56 35 21 29 42 38 28 39 13 5 15 32 Min -61 -98 -79 -150 -66 -164 -133 -231 -75 -91 -100 -318 Max 39 75 60 72 68 259 196 102 82 -3 78 163 Median 6 5 6 -18 3 -9 -44 -31 -20 -29 -18 -57 Mean 3 1 6 -19 2 -5 -36 -23 7 -40 -11 -73 STD 17 33 28 45 26 76 74 74 62 34 54 117 IQR Outliers removed 20 26 24 41 34 73 111 111 127 67 76 163 N 55 31 19 27 41 36 27 Min -24 -42 -23 -90 -58 -132 -133 Max 39 53 50 59 68 107 70 Median 6 5 6 -18 3 -9 -51 Mean 4 2 7 -18 4 -8 -44 STD 15 20 17 35 24 58 59 IQR 20 22 18 36 34 ICC 62 102 East Cyber- City HamburgStuttgart IGN laser+ aerial Nebel+ Partner ICC laser Delft C+B FOI Technik Dresden outlines FOI N 56 35 21 29 42 38 28 39 13 5 15 32 Min -24 -120 -59 -100 -38 -125 -92 -108 -107 -54 -102 -178 Max 32 21 25 73 15 61 87 62 62 43 91 214 Median 5 -20 -8 -5 -14 -10 -10 -20 -47 -2 -42 27 Mean 6 -26 -7 -11 -13 -13 -8 -20 -30 -8 -25 20 STD 12 38 20 38 14 43 35 45 62 35 61 99 IQR Outliers removed 12 51 31 33 22 55 38 68 129 54 80 129 N 52 25 26 Min -19 -62 -58 Max 27 51 39 Median 4 -5 -10 Mean 5 -4 -9 STD 10 24 26 IQR 11 28 36 56 Table 4-9: Senaatti building location accuracy in cm, eaves.
Height Cyber- City HamburgStuttgart IGN ICC laser+ aerial Nebel+ Partner ICC laser Delft C+B FOI Technik Dresden outlines FOI N 14 12 5 12 10 11 7 9 3 3 2 9 Min 7 -46 -33 -68 -117 -127 -129 -134 -221 1 -2 -142 Max 50 38 54 65 10 18 6 8 -4 6 3 12 Median 27 4 23 -2 -3 0 -31 -2 -22 5 1 -8 Mean 31 1 18 -4 -19 -14 -35 -20 -82 4 1 -25 STD 11 26 36 32 39 42 47 46 120 2 3 47 IQR 13 44 79 38 36 25 45 52 198 3 4 49 R 2 Outliers removed 0.9997 0.9977 0.9973 0.9959 0.9941 0.9931 0.9901 0.9910 1.0000 0.5714 1.0000 0.9896 N 13 11 9 10 6 8 8 Min 21 -68 -50 -49 -51 -50 -46 Max 50 15 10 18 6 8 12 Median 27 -2 1 2 -18 0 -5 Mean 32 -10 -8 -3 -19 -6 -10 STD 9 25 20 19 23 19 19 IQR 13 36 36 ICC 14 36 11 25 North Cyber- City HamburgStuttgart IGN laser+ aerial Nebel+ Partner ICC laser Delft C+B FOI Technik Dresden outlines FOI N 14 13 5 12 10 11 7 9 3 3 2 9 Min -21 -48 -13 -53 -96 -104 -127 -54 -52 -28 -57 -287 Max 21 47 26 58 38 57 4 61 62 -3 27 219 Median -2 -4 8 -28 -1 -21 -43 19 -1 -24 -15 -10 Mean 1 -1 7 -20 -8 -17 -52 7 3 -18 -15 -33 STD 14 29 14 30 39 54 47 39 57 13 60 150 IQR Outliers removed 24 39 21 33 47 64 60 77 51 5 84 241 N 11 2 Min -53 -28 Max 8 -24 Median -31 -26 Mean -27 -26 STD 18 3 IQR 28 ICC 5 East Cyber- City HamburgStuttgart IGN laser+ aerial Nebel+ Partner ICC laser Delft C+B FOI Technik Dresden outlines FOI N 14 13 5 12 10 11 7 9 3 3 2 9 Min -11 -106 -31 -53 -38 -76 -43 -97 -58 -18 -15 -73 Max 25 34 0 39 61 7 25 5 -2 -9 -11 51 Median -2 -16 -20 -5 -18 -13 -26 -21 -9 -12 -13 -14 Mean 2 -20 -17 -4 -13 -16 -16 -37 -23 -13 -13 -12 STD 10 39 13 24 29 22 28 37 31 5 3 40 IQR Outliers removed 13 38 25 24 19 18 20 84 49 7 4 51 N 12 9 10 5 Min -85 -38 -27 -43 Max 34 2 7 -21 Median -14 -18 -10 -28 Mean -13 -22 -10 -32 STD 31 13 11 10 IQR 33 22 15 17 Table 4-10: Senaatti building location accuracy in cm, ridges. 57
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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
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 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
Page 57: 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
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
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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
Page 259 and 260:
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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