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إثبات أهلية جميع المشاريع غير التجارية المسجّلة لاستخدام Earth Engine قبل
15 أبريل 2025 من أجل الحفاظ على إمكانية الوصول إلى Earth Engine.
ee.Kernel.add
تنظيم صفحاتك في مجموعات
يمكنك حفظ المحتوى وتصنيفه حسب إعداداتك المفضّلة.
تضيف هذه الدالة نواتين (بشكل فردي) بعد محاذاة مركزيهما.
الاستخدام | المرتجعات |
---|
Kernel.add(kernel2, normalize) | Kernel |
الوسيطة | النوع | التفاصيل |
---|
هذا: kernel1 | Kernel | النواة الأولى |
kernel2 | Kernel | النواة الثانية |
normalize | قيمة منطقية، القيمة التلقائية: false | تطبيع النواة. |
أمثلة
محرّر الرموز البرمجية (JavaScript)
// Two kernels, they do not need to have the same dimensions.
var kernelA = ee.Kernel.chebyshev({radius: 3});
var kernelB = ee.Kernel.square({radius: 1, normalize: false, magnitude: 100});
print(kernelA, kernelB);
/**
* Two kernel weights matrices
*
* [3, 3, 3, 3, 3, 3, 3]
* [3, 2, 2, 2, 2, 2, 3]
* [3, 2, 1, 1, 1, 2, 3] [100, 100, 100]
* A [3, 2, 1, 0, 1, 2, 3] B [100, 100, 100]
* [3, 2, 1, 1, 1, 2, 3] [100, 100, 100]
* [3, 2, 2, 2, 2, 2, 3]
* [3, 3, 3, 3, 3, 3, 3]
*/
print('Pointwise addition of two kernels', kernelA.add(kernelB));
/**
* [3, 3, 3, 3, 3, 3, 3]
* [3, 2, 2, 2, 2, 2, 3]
* [3, 2, 101, 101, 101, 2, 3]
* [3, 2, 101, 100, 101, 2, 3]
* [3, 2, 101, 101, 101, 2, 3]
* [3, 2, 2, 2, 2, 2, 3]
* [3, 3, 3, 3, 3, 3, 3]
*/
إعداد Python
راجِع صفحة
بيئة Python للحصول على معلومات حول واجهة برمجة التطبيقات Python واستخدام
geemap
للتطوير التفاعلي.
import ee
import geemap.core as geemap
Colab (Python)
from pprint import pprint
# Two kernels, they do not need to have the same dimensions.
kernel_a = ee.Kernel.chebyshev(**{'radius': ee.Number(3)})
kernel_b = ee.Kernel.square(**{
'radius': 1,
'normalize': False,
'magnitude': 100
})
pprint(kernel_a.getInfo())
pprint(kernel_b.getInfo())
# Two kernel weights matrices
# [3, 3, 3, 3, 3, 3, 3]
# [3, 2, 2, 2, 2, 2, 3]
# [3, 2, 1, 1, 1, 2, 3] [100, 100, 100]
# A [3, 2, 1, 0, 1, 2, 3] B [100, 100, 100]
# [3, 2, 1, 1, 1, 2, 3] [100, 100, 100]
# [3, 2, 2, 2, 2, 2, 3]
# [3, 3, 3, 3, 3, 3, 3]
print('Pointwise addition of two kernels:')
pprint(kernel_a.add(kernel_b).getInfo())
# [3, 3, 3, 3, 3, 3, 3]
# [3, 2, 2, 2, 2, 2, 3]
# [3, 2, 101, 101, 101, 2, 3]
# [3, 2, 101, 100, 101, 2, 3]
# [3, 2, 101, 101, 101, 2, 3]
# [3, 2, 2, 2, 2, 2, 3]
# [3, 3, 3, 3, 3, 3, 3]
إنّ محتوى هذه الصفحة مرخّص بموجب ترخيص Creative Commons Attribution 4.0 ما لم يُنصّ على خلاف ذلك، ونماذج الرموز مرخّصة بموجب ترخيص Apache 2.0. للاطّلاع على التفاصيل، يُرجى مراجعة سياسات موقع Google Developers. إنّ Java هي علامة تجارية مسجَّلة لشركة Oracle و/أو شركائها التابعين.
تاريخ التعديل الأخير: 2025-07-27 (حسب التوقيت العالمي المتفَّق عليه)
[null,null,["تاريخ التعديل الأخير: 2025-07-27 (حسب التوقيت العالمي المتفَّق عليه)"],[[["\u003cp\u003e\u003ccode\u003eKernel.add\u003c/code\u003e combines two kernels by adding their weights pointwise after aligning their centers.\u003c/p\u003e\n"],["\u003cp\u003eThe resulting kernel has the same dimensions as the larger of the two input kernels.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003enormalize\u003c/code\u003e parameter can be used to normalize the resulting kernel.\u003c/p\u003e\n"],["\u003cp\u003eKernels do not need to have the same dimensions to be added.\u003c/p\u003e\n"]]],[],null,["# ee.Kernel.add\n\nAdds two kernels (pointwise) after aligning their centers.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|--------------------------------------|---------|\n| Kernel.add`(kernel2, `*normalize*`)` | Kernel |\n\n| Argument | Type | Details |\n|-----------------|-------------------------|-----------------------|\n| this: `kernel1` | Kernel | The first kernel. |\n| `kernel2` | Kernel | The second kernel. |\n| `normalize` | Boolean, default: false | Normalize the kernel. |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\n// Two kernels, they do not need to have the same dimensions.\nvar kernelA = ee.Kernel.chebyshev({radius: 3});\nvar kernelB = ee.Kernel.square({radius: 1, normalize: false, magnitude: 100});\nprint(kernelA, kernelB);\n\n/**\n * Two kernel weights matrices\n *\n * [3, 3, 3, 3, 3, 3, 3]\n * [3, 2, 2, 2, 2, 2, 3]\n * [3, 2, 1, 1, 1, 2, 3] [100, 100, 100]\n * A [3, 2, 1, 0, 1, 2, 3] B [100, 100, 100]\n * [3, 2, 1, 1, 1, 2, 3] [100, 100, 100]\n * [3, 2, 2, 2, 2, 2, 3]\n * [3, 3, 3, 3, 3, 3, 3]\n */\n\nprint('Pointwise addition of two kernels', kernelA.add(kernelB));\n\n/**\n * [3, 3, 3, 3, 3, 3, 3]\n * [3, 2, 2, 2, 2, 2, 3]\n * [3, 2, 101, 101, 101, 2, 3]\n * [3, 2, 101, 100, 101, 2, 3]\n * [3, 2, 101, 101, 101, 2, 3]\n * [3, 2, 2, 2, 2, 2, 3]\n * [3, 3, 3, 3, 3, 3, 3]\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\n# Two kernels, they do not need to have the same dimensions.\nkernel_a = ee.Kernel.chebyshev(**{'radius': ee.Number(3)})\nkernel_b = ee.Kernel.square(**{\n 'radius': 1,\n 'normalize': False,\n 'magnitude': 100\n})\npprint(kernel_a.getInfo())\npprint(kernel_b.getInfo())\n\n# Two kernel weights matrices\n\n# [3, 3, 3, 3, 3, 3, 3]\n# [3, 2, 2, 2, 2, 2, 3]\n# [3, 2, 1, 1, 1, 2, 3] [100, 100, 100]\n# A [3, 2, 1, 0, 1, 2, 3] B [100, 100, 100]\n# [3, 2, 1, 1, 1, 2, 3] [100, 100, 100]\n# [3, 2, 2, 2, 2, 2, 3]\n# [3, 3, 3, 3, 3, 3, 3]\n\nprint('Pointwise addition of two kernels:')\npprint(kernel_a.add(kernel_b).getInfo())\n\n# [3, 3, 3, 3, 3, 3, 3]\n# [3, 2, 2, 2, 2, 2, 3]\n# [3, 2, 101, 101, 101, 2, 3]\n# [3, 2, 101, 100, 101, 2, 3]\n# [3, 2, 101, 101, 101, 2, 3]\n# [3, 2, 2, 2, 2, 2, 3]\n# [3, 3, 3, 3, 3, 3, 3]\n```"]]