Patent ID: 11922679
Assignee: XI'AN JIAOTONG UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 2:
3. The automatic seismic facies identification method of claim 1, wherein the step of “building a decoder by using a patch expanding module, the self-attention transformer module, and a skip connection module” comprises:
building a decoder function ƒd to satisfy ƒd(x(1), x(2), x(3), x(4))∈H×W; wherein the decoder function ƒd comprises four second subfunctions ƒdi; the four second subfunctions ƒdi constitute four stages of the decoder;
for an encoding feature map, x
   
    (
    i
    )
   
  
  ∈
  
   ℝ
   
    
     H
     
      2
      i
     
    
    ×
    
     W
     
      2
      i
     
    
    ×
    
     C
     i, and a decoding feature map, d
    
     (
     i
     )
    
   
   ∈
   
    ℝ
    
     
      H
      
       2
       i
      
     
     ×
     
      W
      
       2
       i
      
     
     ×
     
      C
      i
     
    
   
  
  ,, obtaining, d
    
     (
     
      i
      -
      1
     
     )
    
   
   =
   
    
     
      f
      d
      i
     
     (
     
      concat
      ⁢
      
       (
       
        
         x
         
          (
          
           i
           -
           1
          
          )
         
        
        ,
        
         d
         
          (
          i
          )
         
        
       
       )
      
     
     )
    
    ∈
    
     ℝ
     
      
       H
       
        2
        
         i
         -
         1
        
       
      
      ×
      
       W
       
        2
        
         i
         -
         1
        
       
      
      ×
      
       C
       
        i
        -
        1
       
      
     
    
   
  
  ;, wherein i={2,3,4}; d(4)=x(4); concat(·) represents a tensor concatenation operation along a channel dimension; and a feature map of a last stage of the decoder is expressed as d(0)=ƒd1([d(1)])∈H×W×C;
each of the four second subfunctions ƒdi consists of the patch expanding module and the self-attention transformer module, wherein the number of the self-attention transformer module is two; when an input feature map is x, a calculation formula of the patch expanding module is expressed as:, x
      =
      
       
        Linear
          
        [
        
         C
         ,
         
          2
          ⁢
          C
         
        
        ]
       
       ⁢
       
        (
        x
        )
       
      
     
     ;
        
     and
      
    
   
   
    
     (
     3
     )
    
   
  
 

 
  
   
    
     
      x
      =
      
       
        Reshape
           
        [
        
         H
         *
         W
         ×
         2
         ⁢
         
          C
          ⟶
          2
         
         ⁢
         H
         *
         2
         ⁢
         W
         ×
         
          C
          2
         
        
        ]
       
       ⁢
       
        (
        x
        )
       
      
     
     ;
    
   
   
    
     (
     4
     )
    
   
  
 

wherein Linear represents a fully-connected layer; and Reshape represents a dimension reshaping operation; and
connecting stages of the encoder correspondingly to stages of the decoder through the skip connection module to enable the decoder to receive features from corresponding stages of the encoder for fusion.