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Structure-Based Change Detection Methods

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Abstract

This chapter deals with change detection methods based on the structure information in bi-temporal images. We define the structure using six different methods. In the following sections, we explore each method in detail.

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References

  1. Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 8(6), 679–698 (1986)

    Article  Google Scholar 

  2. Sonka, M., Hlavac, V., Boyle, R.: Image Processing, Analysis, and Machine Vision, vol. 2. PWS Publishing, Pacific Grove (1999)

    Google Scholar 

  3. Ünsalan, C.: Gradient-magnitude-based support regions in structural land use classification. IEEE Geosci. Remote Sens. Lett. 3(4), 546–550 (2006)

    Article  Google Scholar 

  4. Stark, H., Woods, J.W.: Probability and Random Processes with Applications to Signal Processing, vol. 3. Prentice Hall, Upper Saddle River (2002)

    Google Scholar 

  5. Comaniciu, D., Meer, P.: Mean shift: A robust approach toward feature space analysis. IEEE Trans. Pattern Anal. Mach. Intell. 24(5), 603–619 (2002)

    Article  Google Scholar 

  6. Lowe, D.G.: Object recognition from local scale-invariant features. In: The Seventh IEEE International Conference on Computer Vision, vol. 2, pp. 1150–1157 (1999)

    Google Scholar 

  7. Rosten, E., Drummond, T.: Machine learning for high-speed corner detection. ECCV 2006, 430–443 (2006)

    Google Scholar 

  8. Sirmacek, B., Ünsalan, C.: Building detection from aerial images using invariant color features and shadow information. In: 23rd International Symposium on Computer and, Information Sciences, Istanbul, October 2008. pp. 1–5

    Google Scholar 

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Correspondence to Murat İlsever .

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© 2012 Cem Ünsalan

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İlsever, M., Ünsalan, C. (2012). Structure-Based Change Detection Methods. In: Two-Dimensional Change Detection Methods. SpringerBriefs in Computer Science. Springer, London. https://doi.org/10.1007/978-1-4471-4255-3_5

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  • DOI: https://doi.org/10.1007/978-1-4471-4255-3_5

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4254-6

  • Online ISBN: 978-1-4471-4255-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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