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Transformation-Based Change Detection Methods

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Two-Dimensional Change Detection Methods

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

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Abstract

This chapter deals with change detection methods based on color or multispectral space transformations. They are based on Principal Component Analysis (PCA), Kauth-Thomas transformation, vegetation indices, and color invariants.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Yeditepe University, Ağustos Yerleşimi 26, Kayisdagi, 34755, Istanbul, Turkey

    Murat İlsever

  2. Electrical and Electronics Engineering, Yeditepe University, Ağustos Yerleşimi 26, 34755, Kayisdagi, Istanbul, Turkey

    Cem Ünsalan

Authors
  1. Murat İlsever
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  2. Cem Ünsalan
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Corresponding author

Correspondence to Murat İlsever .

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© 2012 Cem Ünsalan

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İlsever, M., Ünsalan, C. (2012). Transformation-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_3

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  • DOI: https://doi.org/10.1007/978-1-4471-4255-3_3

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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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