Target detection in hyperspectral imagery based on independent component analysis with references
Author:
Affiliation:

Department of Electronic Engineering,Fudan University,Department of Electronic Engineering,Fudan University

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    A new preprocessing method used for target detection in hyperspectral imagery was proposed. This preprocessing method can increase target spectra accuracy, so the performance of the target detection methods can be improved. By using the target spectra gotten from the laboratory and field as references, the proposed method extracts independent components, which are the closest to the references, from the hyperspectral imagery by means of independent component analysis with references (ICA-R). Then, these independent components are used as target spectra in the following supervised target detection methods. Experimental results on both simulated and real hyperspectral data demonstrate that the proposed method can get more accurate target spectra, which obtains much better performance of target detection.

    Reference
    Related
    Cited by
Get Citation

JIN Shuo, WANG Bin, XIA Wei. Target detection in hyperspectral imagery based on independent component analysis with references[J]. Journal of Infrared and Millimeter Waves,2015,34(2):177~183

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:December 10,2013
  • Revised:January 29,2015
  • Adopted:March 05,2014
  • Online: May 18,2015
  • Published: