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ee.Kernel.cross
使用集合让一切井井有条
根据您的偏好保存内容并对其进行分类。
生成十字形布尔值内核。
用法 | 返回 |
---|
ee.Kernel.cross(radius, units, normalize, magnitude) | 内核 |
参数 | 类型 | 详细信息 |
---|
radius | 浮点数 | 要生成的内核的半径。 |
units | 字符串,默认值:“pixels” | 内核的测量系统(“像素”或“米”)。如果以米为单位指定了内核,则当缩放级别发生变化时,内核会调整大小。 |
normalize | 布尔值,默认值:true | 将内核值归一化为总和为 1。 |
magnitude | 浮点数,默认值:1 | 按此量缩放每个值。 |
示例
代码编辑器 (JavaScript)
print('A cross kernel', ee.Kernel.cross({radius: 3}));
/**
* Output weights matrix (up to 1/1000 precision for brevity)
*
* [0.076, 0.000, 0.000, 0.000, 0.000, 0.000, 0.076]
* [0.000, 0.076, 0.000, 0.000, 0.000, 0.076, 0.000]
* [0.000, 0.000, 0.076, 0.000, 0.076, 0.000, 0.000]
* [0.000, 0.000, 0.000, 0.076, 0.000, 0.000, 0.000]
* [0.000, 0.000, 0.076, 0.000, 0.076, 0.000, 0.000]
* [0.000, 0.076, 0.000, 0.000, 0.000, 0.076, 0.000]
* [0.076, 0.000, 0.000, 0.000, 0.000, 0.000, 0.076]
*/
Python 设置
如需了解 Python API 和如何使用 geemap
进行交互式开发,请参阅
Python 环境页面。
import ee
import geemap.core as geemap
Colab (Python)
from pprint import pprint
print('A cross kernel:')
pprint(ee.Kernel.cross(**{'radius': 3}).getInfo())
# Output weights matrix (up to 1/1000 precision for brevity)
# [0.076, 0.000, 0.000, 0.000, 0.000, 0.000, 0.076]
# [0.000, 0.076, 0.000, 0.000, 0.000, 0.076, 0.000]
# [0.000, 0.000, 0.076, 0.000, 0.076, 0.000, 0.000]
# [0.000, 0.000, 0.000, 0.076, 0.000, 0.000, 0.000]
# [0.000, 0.000, 0.076, 0.000, 0.076, 0.000, 0.000]
# [0.000, 0.076, 0.000, 0.000, 0.000, 0.076, 0.000]
# [0.076, 0.000, 0.000, 0.000, 0.000, 0.000, 0.076]
如未另行说明,那么本页面中的内容已根据知识共享署名 4.0 许可获得了许可,并且代码示例已根据 Apache 2.0 许可获得了许可。有关详情,请参阅 Google 开发者网站政策。Java 是 Oracle 和/或其关联公司的注册商标。
最后更新时间 (UTC):2025-07-26。
[null,null,["最后更新时间 (UTC):2025-07-26。"],[[["\u003cp\u003eGenerates a kernel with values arranged in a cross shape, useful for image processing operations.\u003c/p\u003e\n"],["\u003cp\u003eThe kernel's size is determined by the \u003ccode\u003eradius\u003c/code\u003e parameter, and values can be normalized and scaled.\u003c/p\u003e\n"],["\u003cp\u003eBy default, the kernel values are normalized to sum to 1 and scaled by 1.\u003c/p\u003e\n"],["\u003cp\u003eThe kernel can be defined in either 'pixels' or 'meters', affecting its behavior when the zoom level changes.\u003c/p\u003e\n"]]],["The core functionality is generating a cross-shaped boolean kernel using `ee.Kernel.cross`. Users specify the `radius` to define the kernel's size. They can also choose the `units` ('pixels' or 'meters'), `normalize` (to sum values to 1), and the `magnitude` to scale values. This method returns a `Kernel` object. An example shows how a radius of 3 results in a 7x7 weight matrix where only cross-shaped positions are populated.\n"],null,["# ee.Kernel.cross\n\nGenerates a cross-shaped boolean kernel.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|----------------------------------------------------------------------|---------|\n| `ee.Kernel.cross(radius, `*units* `, `*normalize* `, `*magnitude*`)` | Kernel |\n\n| Argument | Type | Details |\n|-------------|---------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `radius` | Float | The radius of the kernel to generate. |\n| `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. |\n| `normalize` | Boolean, default: true | Normalize the kernel values to sum to 1. |\n| `magnitude` | Float, default: 1 | Scale each value by this amount. |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\nprint('A cross kernel', ee.Kernel.cross({radius: 3}));\n\n/**\n * Output weights matrix (up to 1/1000 precision for brevity)\n *\n * [0.076, 0.000, 0.000, 0.000, 0.000, 0.000, 0.076]\n * [0.000, 0.076, 0.000, 0.000, 0.000, 0.076, 0.000]\n * [0.000, 0.000, 0.076, 0.000, 0.076, 0.000, 0.000]\n * [0.000, 0.000, 0.000, 0.076, 0.000, 0.000, 0.000]\n * [0.000, 0.000, 0.076, 0.000, 0.076, 0.000, 0.000]\n * [0.000, 0.076, 0.000, 0.000, 0.000, 0.076, 0.000]\n * [0.076, 0.000, 0.000, 0.000, 0.000, 0.000, 0.076]\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\nprint('A cross kernel:')\npprint(ee.Kernel.cross(**{'radius': 3}).getInfo())\n\n# Output weights matrix (up to 1/1000 precision for brevity)\n\n# [0.076, 0.000, 0.000, 0.000, 0.000, 0.000, 0.076]\n# [0.000, 0.076, 0.000, 0.000, 0.000, 0.076, 0.000]\n# [0.000, 0.000, 0.076, 0.000, 0.076, 0.000, 0.000]\n# [0.000, 0.000, 0.000, 0.076, 0.000, 0.000, 0.000]\n# [0.000, 0.000, 0.076, 0.000, 0.076, 0.000, 0.000]\n# [0.000, 0.076, 0.000, 0.000, 0.000, 0.076, 0.000]\n# [0.076, 0.000, 0.000, 0.000, 0.000, 0.000, 0.076]\n```"]]