ee.Kernel.compass

  • Creates a 3x3 Prewitt's Compass kernel for edge detection in images.

  • Allows for customization by scaling the kernel values with a magnitude argument.

  • Offers an option to normalize the kernel values, ensuring they sum to 1.

  • Provides usage examples in JavaScript, Python, and Colab environments.

Generates a 3x3 Prewitt's Compass edge-detection kernel.

UsageReturns
ee.Kernel.compass(magnitude, normalize)Kernel
ArgumentTypeDetails
magnitudeFloat, default: 1Scale each value by this amount.
normalizeBoolean, default: falseNormalize the kernel values to sum to 1.

Examples

Code Editor (JavaScript)

print('A Prewitt compass kernel', ee.Kernel.compass());

/**
 * Output weights matrix
 *
 * [1,  1, -1]
 * [1, -2, -1]
 * [1,  1, -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)

from pprint import pprint

print('A Prewitt compass kernel:')
pprint(ee.Kernel.compass().getInfo())

# Output weights matrix

#  [1,  1, -1]
#  [1, -2, -1]
#  [1,  1, -1]