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Supervised Classification Techniques

  • Chapter
Remote Sensing Digital Image Analysis

Abstract

The purpose of this chapter is to present the algorithms used for the supervised classification of single sensor remote sensing image data.

When data from a variety of sensors or sources (such as found in the integrated spatial data base of a Geographical Information System) requires analysis, more sophisticated tools may be required. These are the subject of Chap. 12 which deals with the topic of Multisource Classification.

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© 2006 Springer-Verlag Berlin Heidelberg

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(2006). Supervised Classification Techniques. In: Remote Sensing Digital Image Analysis. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-29711-1_8

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  • DOI: https://doi.org/10.1007/3-540-29711-1_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25128-6

  • Online ISBN: 978-3-540-29711-6

  • eBook Packages: EngineeringEngineering (R0)

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