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ee.Kernel.fixed
透過集合功能整理內容
你可以依據偏好儲存及分類內容。
建立核心。
| 用量 | 傳回 |
|---|
ee.Kernel.fixed(width, height, weights, x, y, normalize) | 核心 |
| 引數 | 類型 | 詳細資料 |
|---|
width | 整數，預設值為 -1 | 核心的寬度 (以像素為單位)。 |
height | 整數，預設值為 -1 | 核心的高度 (以像素為單位)。 |
weights | 清單 | 做為核心權重的 [高度] x [寬度] 值 2D 清單。 |
x | 整數，預設值為 -1 | 對焦位置，以左側的偏移量表示。 |
y | 整數，預設值為 -1 | 對焦點位置，以與頂端的偏移量表示。 |
normalize | 布林值，預設值為 false | 將核心值正規化為總和為 1。 |
範例
程式碼編輯器 (JavaScript)
// Kernel weights.
var weights = [[4, 3, 2, 1, 2, 3, 4],
[4, 3, 2, 1, 2, 3, 4],
[4, 3, 2, 1, 2, 3, 4]];
print('A fixed kernel', ee.Kernel.fixed({weights: weights}));
/**
* Output weights matrix
*
* [4, 3, 2, 1, 2, 3, 4]
* [4, 3, 2, 1, 2, 3, 4]
* [4, 3, 2, 1, 2, 3, 4]
*/
Python 設定
請參閱
Python 環境頁面，瞭解 Python API 和如何使用 geemap 進行互動式開發。
import ee
import geemap.core as geemap
Colab (Python)
from pprint import pprint
weights = [[4, 3, 2, 1, 2, 3, 4],
[4, 3, 2, 1, 2, 3, 4],
[4, 3, 2, 1, 2, 3, 4]]
print('A fixed kernel:')
pprint(ee.Kernel.fixed(**{'weights': weights}).getInfo())
# Output weights matrix
# [4, 3, 2, 1, 2, 3, 4]
# [4, 3, 2, 1, 2, 3, 4]
# [4, 3, 2, 1, 2, 3, 4]
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上次更新時間：2025-07-26 (世界標準時間)。
[null,null,["上次更新時間：2025-07-26 (世界標準時間)。"],[[["\u003cp\u003eCreates a kernel to be applied to an image, using a fixed set of weights provided in a 2-D list.\u003c/p\u003e\n"],["\u003cp\u003eThe kernel can be customized with dimensions (width, height), weight values, and a central focus point (x, y).\u003c/p\u003e\n"],["\u003cp\u003eOptionally, the kernel weights can be normalized to sum to 1.\u003c/p\u003e\n"],["\u003cp\u003eExamples in JavaScript, Python, and Colab are included to demonstrate how to create and use a fixed kernel.\u003c/p\u003e\n"]]],["The function `ee.Kernel.fixed` creates a kernel using specified parameters. Key actions involve defining the kernel's `width` and `height` in pixels and providing a 2-D list of `weights`. Users can specify the focus point using `x` and `y` offsets. An option to `normalize` the weights, ensuring they sum to 1, is available. The function then returns a `Kernel` object for use. Example `weights` data are shown.\n"],null,["# ee.Kernel.fixed\n\nCreates a Kernel.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|------------------------------------------------------------------------------------|---------|\n| `ee.Kernel.fixed(`*width* `, `*height* `, weights, `*x* `, `*y* `, `*normalize*`)` | Kernel |\n\n| Argument | Type | Details |\n|-------------|-------------------------|----------------------------------------------------------------------------------|\n| `width` | Integer, default: -1 | The width of the kernel in pixels. |\n| `height` | Integer, default: -1 | The height of the kernel in pixels. |\n| `weights` | List | A 2-D list of \\[height\\] x \\[width\\] values to use as the weights of the kernel. |\n| `x` | Integer, default: -1 | The location of the focus, as an offset from the left. |\n| `y` | Integer, default: -1 | The location of the focus, as an offset from the top. |\n| `normalize` | Boolean, default: false | Normalize the kernel values to sum to 1. |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\n// Kernel weights.\nvar weights = [[4, 3, 2, 1, 2, 3, 4],\n [4, 3, 2, 1, 2, 3, 4],\n [4, 3, 2, 1, 2, 3, 4]];\n\nprint('A fixed kernel', ee.Kernel.fixed({weights: weights}));\n\n/**\n * Output weights matrix\n *\n * [4, 3, 2, 1, 2, 3, 4]\n * [4, 3, 2, 1, 2, 3, 4]\n * [4, 3, 2, 1, 2, 3, 4]\n */\n```\nPython setup\n\nSee the [Python Environment](/earth-engine/guides/python_install) page for information on the Python API and using\n`geemap` for interactive development. \n\n```python\nimport ee\nimport geemap.core as geemap\n```\n\n### Colab (Python)\n\n```python\nfrom pprint import pprint\n\nweights = [[4, 3, 2, 1, 2, 3, 4],\n [4, 3, 2, 1, 2, 3, 4],\n [4, 3, 2, 1, 2, 3, 4]]\n\nprint('A fixed kernel:')\npprint(ee.Kernel.fixed(**{'weights': weights}).getInfo())\n\n# Output weights matrix\n\n# [4, 3, 2, 1, 2, 3, 4]\n# [4, 3, 2, 1, 2, 3, 4]\n# [4, 3, 2, 1, 2, 3, 4]\n```"]]
