Spatial-spectral multiple manifold discriminant analysis for dimensionality reduction of hyperspectral imagery

HIGHLIGHTS

• who: Spatial-Spectral Multiple Manifold Discriminant et al. from the Key Laboratory on Opto-Electronic Technique and Systems, Ministry of Education, Chongqing University have published the research work: Spatial-Spectral Multiple Manifold Discriminant Analysis for Dimensionality Reduction of Hyperspectral Imagery, in the Journal: (JOURNAL)
• what: In this paper a novel dimensionality reduction (DR) method called analysis (SSMMDA) was proposed for HSI classification. Serving as a good tool for data mining, manifold learning has been the main focus of DR . The authors propose a spatial-spectral multiple manifold-based DR method for HSI classification, which extracts . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.