ee.Kernel.circle
Generates a circle-shaped boolean kernel.
Usage | Returns |
---|
ee.Kernel.circle(radius, units, normalize, magnitude) | Kernel |
Argument | Type | Details |
---|
radius | Float | The radius of the kernel to generate. |
units | String, default: "pixels" | The system of measurement for the kernel ('pixels' or 'meters'). If the kernel is specified in meters, it will resize when the zoom-level is changed. |
normalize | Boolean, default: true | Normalize the kernel values to sum to 1. |
magnitude | Float, default: 1 | Scale each value by this amount. |
Examples
print('A circle kernel', ee.Kernel.circle({radius: 3}));
/**
* Output weights matrix (up to 1/1000 precision for brevity)
*
* [0.000, 0.000, 0.000, 0.034, 0.000, 0.000, 0.000]
* [0.000, 0.034, 0.034, 0.034, 0.034, 0.034, 0.000]
* [0.000, 0.034, 0.034, 0.034, 0.034, 0.034, 0.000]
* [0.034, 0.034, 0.034, 0.034, 0.034, 0.034, 0.034]
* [0.000, 0.034, 0.034, 0.034, 0.034, 0.034, 0.000]
* [0.000, 0.034, 0.034, 0.034, 0.034, 0.034, 0.000]
* [0.000, 0.000, 0.000, 0.034, 0.000, 0.000, 0.000]
*/
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
from pprint import pprint
print('A circle kernel:')
pprint(ee.Kernel.circle(**{'radius': 3}).getInfo())
# Output weights matrix (up to 1/1000 precision for brevity)
# [0.000, 0.000, 0.000, 0.034, 0.000, 0.000, 0.000]
# [0.000, 0.034, 0.034, 0.034, 0.034, 0.034, 0.000]
# [0.000, 0.034, 0.034, 0.034, 0.034, 0.034, 0.000]
# [0.034, 0.034, 0.034, 0.034, 0.034, 0.034, 0.034]
# [0.000, 0.034, 0.034, 0.034, 0.034, 0.034, 0.000]
# [0.000, 0.034, 0.034, 0.034, 0.034, 0.034, 0.000]
# [0.000, 0.000, 0.000, 0.034, 0.000, 0.000, 0.000]
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[[["Generates a circle-shaped kernel for use in image processing."],["The kernel's radius can be specified in pixels or meters."],["Kernel values can be normalized to sum to 1 and scaled by a magnitude factor."],["Useful for operations like blurring or smoothing where a circular neighborhood is desired."]]],["`ee.Kernel.circle()` generates a circle-shaped boolean kernel, which is returned as a Kernel object. The function takes `radius` (float) to set the kernel's size. `units` (string, 'pixels' or 'meters') defines the measurement system, with meters resizing at different zoom levels. `normalize` (boolean) determines if kernel values sum to 1. `magnitude` (float) scales each value. Example code provided demonstrate kernel creation in both JavaScript and Python, with resulting matrix outputs.\n"]]