Proceedings, XXth congress: Proceedings, XXth congress

Altan, M. Orhan

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Multivolume work

Persistent identifier:: 1663674213

Title:: Proceedings, XXth congress

Sub title:: Istanbul, 12 - 23 July 2004

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 1663674213

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.; Auch bezeichnet als XXth International Congress for Photogrammetry and Remote Sensing

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Document type:: Multivolume work

Volume

Persistent identifier:: 166368779X

Title:: Proceedings, XXth congress

Scope:: IV, 226 Seiten

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 166368779X

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(35,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: COMPARISON OF OBJECT ORIENTED IMAGE ANALYSIS AND MANUAL DIGITIZING FOR FEATURE EXTRACTION H. Sahin, H. Topan, S. Karakis, A. M. Marangoz

Document type:: Multivolume work

Structure type:: Chapter

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004 quality analyses of the generated building layer the digitized structures have been compared visually with digital 1:1000 maps. There are some positional differences between the buildings which stem from digital 1:1000 maps and digitized KVR-1000 image. The discrepancies between both layers do not show systematic properties. These discrepancies are rather randomly distributed over the entire image. Some locations have been choosen for a close inspection.One can take the Figure 3 as an example. The left hand-side of the figure shows discrepancies between two layers at a location where two layers fit each other quite well. The differences lies in the range of 0.5 and 5 m. But the deviations between two layers are not homogeneous in the entire image. The right hand-side of the same figure shows two other buildings located 1 km distance from the buildings at the left hand-side. Here the disagreement between both layers vary about 6 to 13 m. Although an accuracy of +4.5 m has been achieved after the transformation, this result is not representative in the entire study field. For the transformation, generally well-agreed points were selected in the cropped image. For more reliable interpretation, transformation, between pixel coordinates of selected points and their GPS surveyed coordinates has been made. Affine transformation has resulted in nearly £12 m accuracy. The points used for transformation cover the whole image from which our study field has been cropped. Hence, transformation for the whole image is more representative than the transformation carried out in our study field. he Discrepancies: 6 — 13 m Discrepancies: 0.5 - 5 m Figure 3. Discrepancies between both layers As mentioned before, KVR-1000 orthoimage was taken in 2000 and the digital 1:1000 maps were generated in 1997. So, there are temporal differences between two materials. Although it is not possible to reach the geometric accuracy of 1:1000 maps, it is clear that determination of new buildings and roads is possible by using KVR-1000 orthoimage. For example, two centre lines of two different roads have been digitized. One of them can be seen in left hand-side of Figure 4. This line is located in both the 1:1000 map and the image. The second one is not located in the map but is detectable in the image easily (see right hand-side of Figure 4). Figure 4. Digitized center lines of roads The operator should accommodate the objects in the image during manual digitizing process using radiometric changes in the interest area. The contrast of image and effective pixel size help this achievement. So, the grey value profile analysis should be carried out in order to determine the effective pixel size of the image. a Average Differences Average Differences 1.5.96 * L +; 1 68 L 2" 2 100” 2 6 2.66 2 ul. 3-105 * 3 3 67 3 4 105° 4 -1* 4 69 4 4* 5 104 8. 35 8.73 84} 6 109 6. 13. * GO 77 6 8 2-421: * 7 2 x. 7 85 713 8 143 8 21 "98 190 8 24 9 164 9:12:95 9 |24 9 24 10 176 19 > 10 148 10 15 [1 181 s ]i- 5 11 163 1117 12 186 12 1* 12 180 12 9 13 187 13-17 13 189 13 6 14 186 * 14 -1* 14 195 14 1* 15 185 15 196 C d Average Differences Average Differences ] 132. 1 -1* 1,1307 ] -4* 2 131 2-2" 2 126 2 2: 3 129 3-5" 3 124 3 0* 4 124 4 -3* 4 124° 42 star” STE 5 126 SL 6 128 6 22 6 125 6.37 7 150 7 36 : 7 128 7 14 8 186 8 25 e 8 142 8 29 9 211 9/77 957171 9 36 10218 ; 10 0 10 207 10 22 11218 * ]1.2.* 11229 11.5 12 220 12 6 12 234 12 -1 13 226 13 4 13253 13 0 14 230 3 14 2 2 14 233 14 1 15232 à 15 234 Figure 5. Grey value profiles of different edges Four different constructions at some selected locations can be seen in Figure 5. At the constructions the edges depicted in green are selected. The aim of the following analysis is to determine contrast of edges, especially between white and dark areas. The dark areas can be the grass, water or ground, and the white areas can be road or roof of the buildings etc. The edge analysis consists of taking profiles along the edge itself. The profiles are chosen perpendicular to the edge. For all profiles, mean values of the corresponding profile points are determined. Thus a graphic showing the trend of average values is obtained. The differences of grey values between adjacent points are built and can be seen visually. Both graphics can be seen underneath the cropped samples in Figure 5. After edge analysis, it is expected that the contrast should be very sharp like in object Inté Sp nc lie th: th an

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