ee.Kernel.octagon
Generates an octagon-shaped boolean kernel.
Usage | Returns |
---|
ee.Kernel.octagon(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('An octagon kernel', ee.Kernel.octagon({radius: 3}));
/**
* Output weights matrix (up to 1/1000 precision for brevity)
*
* [0.000, 0.000, 0.027, 0.027, 0.027, 0.000, 0.000]
* [0.000, 0.027, 0.027, 0.027, 0.027, 0.027, 0.000]
* [0.027, 0.027, 0.027, 0.027, 0.027, 0.027, 0.027]
* [0.027, 0.027, 0.027, 0.027, 0.027, 0.027, 0.027]
* [0.027, 0.027, 0.027, 0.027, 0.027, 0.027, 0.027]
* [0.000, 0.027, 0.027, 0.027, 0.027, 0.027, 0.000]
* [0.000, 0.000, 0.027, 0.027, 0.027, 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('An octagon kernel:')
pprint(ee.Kernel.octagon(**{'radius': 3}).getInfo())
# Output weights matrix (up to 1/1000 precision for brevity)
# [0.000, 0.000, 0.027, 0.027, 0.027, 0.000, 0.000]
# [0.000, 0.027, 0.027, 0.027, 0.027, 0.027, 0.000]
# [0.027, 0.027, 0.027, 0.027, 0.027, 0.027, 0.027]
# [0.027, 0.027, 0.027, 0.027, 0.027, 0.027, 0.027]
# [0.027, 0.027, 0.027, 0.027, 0.027, 0.027, 0.027]
# [0.000, 0.027, 0.027, 0.027, 0.027, 0.027, 0.000]
# [0.000, 0.000, 0.027, 0.027, 0.027, 0.000, 0.000]
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[[["Creates a kernel with an octagon shape for use in image processing."],["The kernel's radius can be specified in pixels or meters, with meter-based kernels resizing with zoom level changes."],["Kernel values are normalized by default to sum to 1 and can be scaled using the `magnitude` parameter."],["This kernel can be used for various image operations, such as smoothing, blurring or edge detection by applying it to an image using a convolution."]]],[]]