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The Linear Spectral Mixture Model

  • Yosio Edemir Shimabukuro
  • Flávio Jorge Ponzoni
Chapter
Part of the Springer Remote Sensing/Photogrammetry book series (SPRINGERREMO)

Abstract

The linear spectral mixture model is presented in its math concept. During this discussion, examples are presented in order to facilitate the reader’s understanding of the concepts involved in the design of the model.

Keywords

Linear spectral mixture model LSMM concept Spectral mixture modeling 

References

  1. Burden, R. L., Faires, J. D., & Reynolds, A. C. (1981). Numerical analysis (2nd ed.). Boston: Prindle, Weber and Schmidt.Google Scholar
  2. Conte, S. D., & De Boor, C. (1980). Elementary numerical analysis: An algorithmic approach. McGraw-Hill. 445 p.Google Scholar
  3. Shimabukuro, Y. E., & Smith, J. A. (1995). Fraction images derived from Landsat TM and MSS data for monitoring reforested areas. Canadian Journal of Remote Sensing, 21(1), 67–74.CrossRefGoogle Scholar
  4. Spiegel, M. R. (1968). Mathematical handbook of formulas and tables. New York: McGraw-Hill.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Yosio Edemir Shimabukuro
    • 1
  • Flávio Jorge Ponzoni
    • 1
  1. 1.Remote Sensing DivisionNational Institute for Space ResearchSão José dos CamposBrazil

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