• DocumentCode
    1733990
  • Title

    A framework for dictionary learning based hyperspectral pixel classification

  • Author

    Pound, A. ; Gunther, Jacob ; Moon, Thomas ; Williams, Graham J.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Utah State Univ., Logan, UT, USA
  • fYear
    2012
  • Firstpage
    382
  • Lastpage
    385
  • Abstract
    This paper explores the utility of using dictionary learning as a preprocessing stage in the data reduction of hyperspectral data for the express purpose of improving detection and classification of materials. This paper sets up the general framework, and discusses some of the preliminary research from pairing a random forest classifier with dictionary learning.
  • Keywords
    data reduction; dictionaries; hyperspectral imaging; image classification; learning (artificial intelligence); data reduction; dictionary learning; general framework; hyperspectral data; hyperspectral pixel classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4673-5050-1
  • Type

    conf

  • DOI
    10.1109/ACSSC.2012.6489030
  • Filename
    6489030
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1733990