Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

What’s in an Image?

  • Conference paper
  • First Online:
Spatial Information Theory (COSIT 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2205))

Included in the following conference series:

Abstract

This paper discusses the ontological status of remote sensing images, from a GIScience perspective. We argue that images have a dual nature—they are fields at the measurement level and fiat objects at the classification level—and that images have an ontological description of their own, distinct and independent from the domain ontology a domain scientist uses. This paper proposes a multi-level ontology for images, combining both field and object approaches and distinguishing between image and user ontologies. The framework developed contributes to the design of a new generation of integrated GISs, since two key benefits are achieved: (1) the support for multiple perspectives for the same image and (2) an emphasis on using images for the detection of spatial-temporal configurations of geographic phenomena.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Goodchild, M., et al., Introduction to the Varenius Project. International Journal of Geographical Information Science, 1999. 13(8): p. 731–745.

    Article  Google Scholar 

  2. Fonseca, F. and M. Egenhofer. Ontology-Driven Geographic Information Systems. in 7th ACM Symposium on Advances in Geographic Information Systems. 1999. Kansas City, MO: ACM Press, N.Y.

    Google Scholar 

  3. Couclelis, H., People Manipulate Objects (but Cultivate Fields): Beyond the Raster-Vector Debate in GIS, in Theories and Methods of Spatio-Temporal Reasoning in Geographic Space, A. Frank, I. Campari, and U. Formentini, Editors. 1992, Springer-Verlag: Berlin. p. 65–77.

    Google Scholar 

  4. Burrough, P. and A. Frank, eds. Geographic Objects with Indeterminate Boundaries. 1996, Taylor & Francis: London.

    Google Scholar 

  5. Câmara, G., et al., SPRING: Integrating Remote Sensing and GIS with Object-Oriented Data Modelling. Computers and Graphics, 1996. 15(6): p. 13–22.

    Google Scholar 

  6. Peuquet, D., A Conceptual Framework and Comparison of Spatial Data Models. Cartographica, 1984. 21: p. 66–113.

    Google Scholar 

  7. Smith, B. and D. Mark. Ontology and Geographic Kinds. in International Symposium on Spatial Data Handling. 1998. Vancouver, Canada.

    Google Scholar 

  8. Guarino, N., Formal Ontology and Information Systems, in Formal Ontology in Information Systems, N. Guarino, Editor. 1998, IOS Press: Amsterdam, The Netherlands. p. 3–15.

    Google Scholar 

  9. Fonseca, F., et al., Ontologies and Knowledge Sharing in Urban GIS. Computer, Environment and Urban Systems, 2000. 24(3): p. 232–251.

    Article  Google Scholar 

  10. Mark, D., et al., Ontological Foundations for Geographic Information Science. 2001.

    Google Scholar 

  11. Winter, S., ed. Geographical Domain and Geographical Information Systems-EuroConference on Ontology and Epistemology for Spatial Data Standards. GeoInfo Series. Vol. 19. 2000, Institute for Geoinformation, Vienna University of Technology: Vienna, Austria.

    Google Scholar 

  12. Gregorio, A. and L. Jansen, Land Cover Classification System: Classification Concepts and User Manual. 1998, Food and Agriculture Organization of the United Nations (FAO/UN): Rome, Italy.

    Google Scholar 

  13. Câmara, G., et al. A Model to Cultivate Objects and Manipulate Fields. in Second ACM Workshop on Geographic Information Systems. 1994. Gaithersburg, MD: ACM Press.

    Google Scholar 

  14. Lillesand, T. and R. Kiefer, Remote Sensing and Image Interpretation. 2000, New York: John Wiley & Sons.

    Google Scholar 

  15. Jensen, J., Introductory Digital Image Processing: A Remote Sensing Perspective. 1986, New York: Prentice-Hall.

    Google Scholar 

  16. Bittner, T. and S. Winter, On Ontology in Image Analysis, in Integrated Spatial Databases: Digital Images and GIS, P. Agouris and A. Stefanidis, Editors. 1999, Springer-Verlag: Berlin. p. 168–191.

    Chapter  Google Scholar 

  17. Câmara, G.M., A.M.V.; Paiva, J.A.C; Souza, R.C.M. Action-Driven Ontologies of the Geographical Space. in GIScience 2000. 2000. Savanah, GA: AAG.

    Google Scholar 

  18. Marr, D., Vision. 1982, San Francisco, CA: W.H. Freeman.

    Google Scholar 

  19. Guarino, N., Semantic Matching: Formal Ontological Distinctions for Information Organization, Extraction, and Integration., in Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology, International Summer School, SCIE-97, M. Pazienza, Editor. 1997, Springer-Verlag: Berlin. p. 139–170.

    Google Scholar 

  20. Turner, B., et al., Land-Use and Land-Cover Change (LUCC): Science/Research Plan, HDP Report No. 7. 1995, IGBP Secretariat: Stockholm.

    Google Scholar 

  21. Shimabukuro, Y., et al., Using shade fraction image segmentation to evaluate deforestation in Landsat Thematic Mapper images of the Amazon region. International Journal of Remote Sensing, 1998. 19(3): p. 535–541.

    Article  Google Scholar 

  22. Hornsby, K. and M. Egenhofer, Identity-Based Change: A Foundation for Spatio-Temporal Knowledge Representation. International Journal of Geographical Information Science, 2000. 14(3): p. 207–224.

    Article  Google Scholar 

  23. Egenhofer, M. and R. Franzosa, Point-Set Topological Spatial Relations. International Journal of Geographical Information Systems, 1991. 5(2): p. 161–174.

    Article  Google Scholar 

  24. Ehlers, M., G. Edwards, and Y. Bédard, Integration of Remote Sensing with Geographic Information Systems: A Necessary Evolution. Photogrammetric Engineering & Remote Sensing, 1989. 55(11): p. 1619–1627.

    Google Scholar 

  25. Hinton, J., GIS and Remote Sensing Integration for Environmental Applications. International Journal of Geographical Information Systems, 1996. 10(7): p. 877–890.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Câmara, G., Egenhofer, M.J., Fonseca, F., Vieira Monteiro, A.M. (2001). What’s in an Image?. In: Montello, D.R. (eds) Spatial Information Theory. COSIT 2001. Lecture Notes in Computer Science, vol 2205. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45424-1_32

Download citation

  • DOI: https://doi.org/10.1007/3-540-45424-1_32

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42613-4

  • Online ISBN: 978-3-540-45424-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics