Skip to main content
SpringerLink
Log in

Change Detection with SPOT-5 and FORMOSAT-2 Imageries

  • Conference paper
Advances in Visual Computing (ISVC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5359))

Included in the following conference series:

  • 1551 Accesses

Abstract

This paper defines a methodology for change detection between two multi-spectral imageries taken on two different dates with two different sensors: SPOT-5 and FORMOSAT-2. The characteristics of the imageries are explored to obtain the maximum advantage for change detection, showing how the right combination of bands helps bring out the nature of changes. A methodology is proposed on how to use probability layers instead of the thematic map classification. Results show the advantages of using the probability layer of a supervised classification for green vegetation; this layer provides a useful tool for the analysis of changes in vegetation and buildings.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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.

References

  1. Singh, A.: Digital change detection techniques using remotely sensed data. International Journal of Remote Sensing 10(6), 989–1003 (1989)

    Article  Google Scholar 

  2. Lu, D., Mausel, P., Brondizio, E., Moran, E.: Change detection techniques. International Journal of Remote Sensing 25(12), 2365–2407 (2003)

    Article  Google Scholar 

  3. Coppin, P., Jonckheere, I., Nackaerts, K., Muys, B.: Digital change detection methods in ecosystem monitoring: a review. International Journal Remote Sensing 25(9), 1565–1596 (2004)

    Article  Google Scholar 

  4. Deng, J., Wang, K., Li, J., Feng, X., Huang, J.: Integration of SPOT-5 and ETM+ images to detect land cover change in urban environment. In: Proceedings of the IEEE Geoscience and Remote Sensing Symposium IGARSS, vol. 4, pp. 2284–2286. IEEE Press, New York (2005)

    Google Scholar 

  5. Zhang, J., Wang, X., Chen, T., Zhang, Y.: Change detection for the urban area based on multiple sensor information fusion. In: Proceedings of the IEEE International Geoscience and Remote Sensing Symposium IGARSS, vol. 1, pp. 226–229. IEEE Press, New York (2005)

    Google Scholar 

  6. Zoran, M., Anderson, E.: The use of multi-temporal and multispectral satellite data for change detection analysis of the Romanian Black Sea coastal zone. Journal of Optoelectronics and Advanced Materials 8(1), 252–256 (2006)

    Google Scholar 

  7. Wulder, M.A., Butson, C.R., White, J.C.: Cross-sensor change detection over a forested landscape: options to enable continuity of medium spatial resolution measures. Remote Sensing of Environment 112(3), 796–809 (2008)

    Article  Google Scholar 

  8. Lacroix, V., Idrissa, M., Hincq, A., Bruynseels, H., Swartenbroekx, O.: Detecting urbanization changes using SPOT5. Pattern Recognition Letters 27(4), 226–233 (2006)

    Article  Google Scholar 

  9. Corbane, C., Marre, F., Petit, M.: Using SPOT-5 HRG Data in Panchromatic Mode for Operational Detection of Small Ships in Tropical Area. Sensors 8, 2959–2973 (2008)

    Article  Google Scholar 

  10. Liu, C.-C.: Processing of FORMOSAT-2 daily revisit imagery for site surveillance. IEEE Transactions on Geoscience and Remote Sensing 44(11, part 1), 3206–3214 (2006)

    Article  Google Scholar 

  11. Liu, C.-C., Liu, J.-G., Lin, C.-W., Wu, A.-M., Liu, H., Shieh, C.-L.: Image Processing of FORMOSAT-2 data for Monitoring South Asia tsunami. International Journal of Remote Sensing 28(13), 3093–3111 (2007)

    Article  Google Scholar 

  12. Courault, D., Bsaibes, A., Kpemlie, E., Hadria, R., Hagolle, O., Marloie, O., Hanocq, J.F., Olioso, A., Bertrand, N., Desfonds, V.: Assessing the Potentialities of FORMOSAT-2 Data for Water and Crop Monitoring at Small Regional Scale in South-Eastern France. Sensors 8, 3460–3481 (2008)

    Article  Google Scholar 

  13. Chen, L.-C., Teo, T.-A., Liu, C.-L.: Rigorous georeferencing for Formosat-2 satellite images by least squares collocation. In: Proceedings of the IEEE, Geoscience and Remote Sensing Symposium IGARSS, vol. 5, pp. 3526–3529. IEEE Press, New York (2005)

    Google Scholar 

  14. Malpica, J.A., Mena, J.B., González-Matesanz, F.J.: Extraction of cartographic features from a high resolution satellite image. In: Bebis, G., Boyle, R., Parvin, B., Koracin, D., Paragios, N., Tanveer, S.-M., Ju, T., Liu, Z., Coquillart, S., Cruz-Neira, C., Müller, T., Malzbender, T. (eds.) ISVC 2007, Part II. LNCS, vol. 4842, pp. 611–620. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  15. Richards, J.A., Jia, X.: Remote Sensing Digital Image Analysis: An Introduction, 4th edn., 439 pages. Springer, Heidelberg (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Mathematics Department, School of Geodesy and Cartography, Alcalá University, 28871, Madrid, Spain

    Patricia Cifuentes, José A. Malpica & Francisco J. González-Matesanz

Authors
  1. Patricia Cifuentes
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. José A. Malpica
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Francisco J. González-Matesanz
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Nevada, Reno, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. Digital Image Research Center, Kingston University, London, UK

    Paolo Remagnino

  6. Mitsubishi Electric Research Laboratories, P.O. Box 02139, Cambridge, MA, USA

    Fatih Porikli

  7. Computer and Information Science and Engineering, University of Florida, P.O. Box, FL 32611-6120, Gainsville, USA

    Jörg Peters

  8. IBM T.J. Watson Research Center, 19 Skyline Drive, NY 10532, Hawthorne, USA

    James Klosowski

  9. 128 Memorial Mall, Stewart B001, IN 47907, West Lafayette, USA

    Laura Arns

  10. Denver Museum of Nature and Space, 2001 Colorade Blvd. Denver,, CO 80205, USA

    Yu Ka Chun

  11. Departmen of Computer Science,, NC State University, Campus Box 8206, NC 27695-8206, Raleigh, USA

    Theresa-Marie Rhyne

  12. Los Alamos National Labs, P.O. Box 1663, NM 87545, Los Alamos, USA

    Laura Monroe

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cifuentes, P., Malpica, J.A., González-Matesanz, F.J. (2008). Change Detection with SPOT-5 and FORMOSAT-2 Imageries. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2008. Lecture Notes in Computer Science, vol 5359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89646-3_118

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-89646-3_118

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89645-6

  • Online ISBN: 978-3-540-89646-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation