• DocumentCode
    911189
  • Title

    Improved Process for Use of a Simplex Growing Algorithm for Endmember Extraction

  • Author

    Wu, Cheng ; Lo, Chien Shun ; Chang, Chein-I

  • Author_Institution
    Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland Baltimore County, Baltimore, MD
  • Volume
    6
  • Issue
    3
  • fYear
    2009
  • fDate
    7/1/2009 12:00:00 AM
  • Firstpage
    523
  • Lastpage
    527
  • Abstract
    A recent paper by Chang develops a new algorithm, called the simplex growing algorithm, which has shown promise in end member extraction. There is an erroneous description made for one of synthetic image experiments. While making a simple correction would have sufficed, a series of studies has led to interesting and intriguing results on how to determine an appropriate number of end members p, how to design a better end member extraction algorithm, and how to use an effective technique to perform dimensionality reduction.
  • Keywords
    feature extraction; geophysical signal processing; remote sensing; dimensionality reduction; end member extraction; simplex growing algorithm; synthetic image experiments; Endmember extraction; signature subspace estimate (SSE); simplex growing algorithm (SGA); vertex component analysis (VCA); virtual dimensionality (VD);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2009.2016223
  • Filename
    4967975