Patent ID: 11941865
Assignee: WUHAN UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G  Y | IPC G

Claim 1:
2. The hyperspectral image classification method based on context-rich networks according to claim 1, wherein: the pre-processing is a Z-score standardization or a normalization process on the hyperspectral image, as following implementations:
performing the normalization process on hyperspectral data X0 through the formula, x
    ijc
    ′
   
   =
   
    
     
      
       2
       ⁢
       
        (
        
         
          x
          ijc
         
         -
         
          x
          cmin
         
        
        )
       
      
      
       
        x
        cmax
       
       -
       
        x
        cmin
       
      
     
     -
     
      1
      ⁢
         
      or
      ⁢
         
      
       x
       ijc
       ′
      
     
    
    =
    
     
      
       x
       ijc
      
      -
      
       μ
       c
      
     
     
      σ
      c
     
    
   
  
  ,, wherein xijc denotes a value of a pixel xij at a band c in a row i and a column j of the X0, xcmin, xcmax are a minimum value and a maximum value of the band c in the X0, μc and σc are a mean and a standard deviation of the band c, the generated data is represented by X′0.