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ee.Kernel.roberts

Page Summary

The ee.Kernel.roberts() function generates a 2x2 Roberts edge-detection kernel.
The magnitude argument scales the kernel values, and the normalize argument can normalize them to sum to 1.
The examples show how to use the ee.Kernel.roberts() function in both the Code Editor (JavaScript) and Colab (Python).

Generates a 2x2 Roberts edge-detection kernel.

Usage	Returns
`ee.Kernel.roberts( 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 Roberts kernel' 
 , 
  
 ee 
 . 
 Kernel 
 . 
 roberts 
 ()); 
 /** 
 * Output weights matrix; center is position [1,1] 
 * 
 * [1,  0] 
 * [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 Roberts kernel:' 
 , 
 ee 
 . 
 Kernel 
 . 
 roberts 
 ()) 
 #  Output weights matrix; center is position [1,1] 
 #  [1,  0] 
 #  [0, -1]

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Page Summary

Examples

Code Editor (JavaScript)

Colab (Python)

ee.Kernel.roberts