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 Following the segmentation with small scale values as applied in Figure 6 the classification is resulted in for a series of buildings as shown in Figure 8. Although the building blocks should have been separated from each other, the buildings are classified altogether apparently. The overlapping manually and automatic digitized objects are shown in Figure 9. It is too normal that, there can be some inconsistency between classifiers fail at separating two different buildings as one building as seen in Figure 9 marked with 1. Besides, some buildings can not be extracted from the image, although these constructions can be digitized manually. This situation can be seen in Figure 9 marked by 2. Originally these three buildings exist in the 1:1000 line maps. However, some buildings like in Figure 9 marked by 3 have the same size obtained by manual and automatic digitizing. 5. CONCLUSION In this study, manual on-screen digitizing and the automatic object oriented image analysis methods have been compared using KVR-1000 orthoimage. By manual method, almost all building and road details that are available or not available could be derived. Although the effective pixel size of KVR- 1000 orthoimage is about 2 pixel, experience and function of operator are the main factors on the success rate. However, accuracy of the coordinate transformation of about £12 m does not provide the required position accuracy. The reason for this is that the KVR-1000 orthoimage was generated by the DEM with 20 m height accuracy. As a rule of thumb 10 times of the pixel size gives the scale factor (Jacobsen, 2002). For KVR- 1000 case 10 times of the pixel size is 15.6 m and this corresponds to 1:16000 map scale. Individual structures in a forest can be located significantly due to their distinct grey values using KVR-1000 images. Such a study was made by Karathanassi et al. (2003). Their concern was not the geometric accuracy of the classification. But our study has attempted the accuracy potential of from KVR-1000 image digitized vector maps. The study comes to the conclusion that pixel size does not dictate the map scale of end product to be extracted from the satellite images such as KVR-1000. Expected success rate could not be reached on the KVR-1000 ortho-image using eCognition 3.0 object-oriented image analysis software not enough contrast, monochromatic image, and negative influence of DEM on orthoimage generation fails the segmentation phase, then the following classification produce did not work as efficient as possible. In contrast to automatic method, manual, method produced expected success for the object extraction purpose. 6. REFERENCES Bjorgo, E. 2000. Using very high spatial resolution multispectral satellite sensor imagery to monitor refugee camps. International Journal of Remote Sensing, 21(2), pp. 611-616. Jacobsen, K., 2002. Mapping with IKONOS images. In: EARSeL Symposium “Geoinformation for European-wide Integration", Prague, Czech Republic, pp. 149-156. Karathanassi, V., lossifidis, Ch. and Rokos, D., 2003. Remote sensing methods and techniques as a tool for the implementation of environmental legislation. The Greek Forest 118 Law case study. International Journal of Remote Sensing, 24(1), pp. 39-51. Kostka, R., 2002. The world mountain Damavand: documentation and monitoring of human activities using remote sensing data. ISPRS Journal of Photogrammetry & Remote Sensing, 57(2002), pp. 5-12. Parker, J.R., 1997. Algorithms for Image Processing and Computer Vision. Wiley Computer Publishing, pp. 3-5. Robinson, A.H., Sale, R.D., Morrison, J.L. and Muehrcke, P.C., 1984. Elements Of Cartography. John Wiley and Sons Inc., Canada. SOVINFORMSPUTNIK, 2004. Information from official web- site, Moscow, Russia. http://www.sovinformsputnik.com (accessed 18 Feb. 2004). Topan, H., Buyuksalih, G. and Jacobsen, K., 2004. Comparison of information contents of high resolution space images. In: XX. Congress of ISPRS, Istanbul, Turkey, this issue. Yan, G., 2003. Pixel based and object oriented image analysis for coal fire research. Msc. Thesis, International Institute. for Geo-Information Science and Earth Observation Enschede, The Netherlands. 7. ACKNOWLEDGEMENTS Parts of the presented results have been supported by TUBITAK, Turkey and the Jülich Research Centre, Germany. The authors wish to thank Dr. Gurcan Buyuksalih, Dr. Karsten Jacobsen and M. Guven Kocak for their supervisions during this study. KI AE Fo po ma In 7 = est err eff em act itei Co per Th fre elli pra Th Tre ort) the ge In the rea Th the sut sea The but elli a Si *

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