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ee.Kernel.sobel

AI-generated Key Takeaways

ee.Kernel.sobel generates a 3x3 Sobel edge-detection kernel.
The magnitude argument scales the kernel values.
The normalize argument normalizes the kernel values to sum to 1.
The default Sobel kernel has weights represented by the matrix [[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]] .

Generates a 3x3 Sobel edge-detection kernel.

Usage	Returns
`ee.Kernel.sobel( magnitude , normalize )`	Kernel

Argument	Type	Details
`magnitude`	Float, default: 1	Scale each value by this amount.
`normalize`	Boolean, default: false	Normalize the kernel values to sum to 1.

Examples

Code Editor (JavaScript)

 print 
 ( 
 'A Sobel kernel' 
 , 
  
 ee 
 . 
 Kernel 
 . 
 sobel 
 ()); 
 /** 
 * Output weights matrix 
 * 
 * [-1, 0, 1] 
 * [-2, 0, 2] 
 * [-1, 0, 1] 
 */

Python setup

See the Python Environment page for information on the Python API and using geemap for interactive development.

 import 
  
 ee 
 import 
  
 geemap.core 
  
 as 
  
 geemap

Colab (Python)

 display 
 ( 
 'A Sobel kernel:' 
 , 
 ee 
 . 
 Kernel 
 . 
 sobel 
 ()) 
 #  Output weights matrix 
 #  [-1, 0, 1] 
 #  [-2, 0, 2] 
 #  [-1, 0, 1]

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AI-generated Key Takeaways

Examples

Code Editor (JavaScript)

Colab (Python)

ee.Kernel.sobel