ee.Image.arrayDotProduct
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Enregistrez et classez les contenus selon vos préférences.
Calcule le produit scalaire de chaque paire de tableaux à une dimension dans les bandes des images d'entrée.
Utilisation | Renvoie |
---|
Image.arrayDotProduct(image2) | Image |
Argument | Type | Détails |
---|
ceci : image1 | Image | Première image de tableau de vecteurs unidimensionnels. |
image2 | Image | Deuxième image du tableau de vecteurs unidimensionnels. |
Exemples
Éditeur de code (JavaScript)
// A function to print arrays for a selected pixel in the following examples.
function sampArrImg(arrImg) {
var point = ee.Geometry.Point([-121, 42]);
return arrImg.sample(point, 500).first().get('array');
}
// A 1D array image.
var arrayImg1Da = ee.Image([0, 1, 2]).toArray();
print('1D array image A (pixel)', sampArrImg(arrayImg1Da));
// [0, 1, 2]
// A second 1D array image of the same length.
var arrayImg1Db = ee.Image([3, 4, 5]).toArray();
print('1D array image B (pixel)', sampArrImg(arrayImg1Db));
// [3, 4, 5]
// Calculate the dot product for the two 1D arrays.
var test = arrayImg1Da.arrayDotProduct(arrayImg1Db);
print('A⋅B = 0(3) + 1(4) + 2(5) = ', sampArrImg(test));
// 14
Configuration de Python
Consultez la page
Environnement Python pour en savoir plus sur l'API Python et sur l'utilisation de geemap
pour le développement interactif.
import ee
import geemap.core as geemap
Colab (Python)
# A function to print arrays for a selected pixel in the following examples.
def samp_arr_img(arr_img):
point = ee.Geometry.Point([-121, 42])
return arr_img.sample(point, 500).first().get('array')
# A 1D array image.
array_img_1d_a = ee.Image([0, 1, 2]).toArray()
print('1D array image A (pixel):', samp_arr_img(array_img_1d_a).getInfo())
# [0, 1, 2]
# A second 1D array image of the same length.
array_img_1d_b = ee.Image([3, 4, 5]).toArray()
print('1D array image B (pixel):', samp_arr_img(array_img_1d_b).getInfo())
# [3, 4, 5]
# Calculate the dot product for the two 1D arrays.
test = array_img_1d_a.arrayDotProduct(array_img_1d_b)
print('A⋅B = 0(3) + 1(4) + 2(5) = ', samp_arr_img(test).getInfo())
# 14
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Dernière mise à jour le 2025/07/26 (UTC).
[null,null,["Dernière mise à jour le 2025/07/26 (UTC)."],[[["\u003cp\u003eComputes the dot product of corresponding 1-D arrays within two input images, resulting in a new image.\u003c/p\u003e\n"],["\u003cp\u003eEach 1-D array represents a band in the input images, and they must have the same length.\u003c/p\u003e\n"],["\u003cp\u003eThe dot product calculation is performed element-wise between the arrays in matching bands.\u003c/p\u003e\n"],["\u003cp\u003eThe resulting image contains a single band representing the dot product values for each pixel location.\u003c/p\u003e\n"]]],["The `arrayDotProduct` function computes the dot product between two 1-D array images. It takes two image arguments, `image1` and `image2`, representing the first and second array images respectively. The dot product is calculated for each corresponding pair of 1-D arrays in the images' bands. The result is an `Image` representing the dot product. The example illustrates this using arrays [0, 1, 2] and [3, 4, 5], yielding a dot product of 14.\n"],null,["# ee.Image.arrayDotProduct\n\nComputes the dot product of each pair of 1-D arrays in the bands of the input images.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|---------------------------------|---------|\n| Image.arrayDotProduct`(image2)` | Image |\n\n| Argument | Type | Details |\n|----------------|-------|------------------------------------|\n| this: `image1` | Image | First array image of 1-D vectors. |\n| `image2` | Image | Second array image of 1-D vectors. |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\n// A function to print arrays for a selected pixel in the following examples.\nfunction sampArrImg(arrImg) {\n var point = ee.Geometry.Point([-121, 42]);\n return arrImg.sample(point, 500).first().get('array');\n}\n\n// A 1D array image.\nvar arrayImg1Da = ee.Image([0, 1, 2]).toArray();\nprint('1D array image A (pixel)', sampArrImg(arrayImg1Da));\n// [0, 1, 2]\n\n// A second 1D array image of the same length.\nvar arrayImg1Db = ee.Image([3, 4, 5]).toArray();\nprint('1D array image B (pixel)', sampArrImg(arrayImg1Db));\n// [3, 4, 5]\n\n// Calculate the dot product for the two 1D arrays.\nvar test = arrayImg1Da.arrayDotProduct(arrayImg1Db);\nprint('A⋅B = 0(3) + 1(4) + 2(5) = ', sampArrImg(test));\n// 14\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\n# A function to print arrays for a selected pixel in the following examples.\ndef samp_arr_img(arr_img):\n point = ee.Geometry.Point([-121, 42])\n return arr_img.sample(point, 500).first().get('array')\n\n# A 1D array image.\narray_img_1d_a = ee.Image([0, 1, 2]).toArray()\nprint('1D array image A (pixel):', samp_arr_img(array_img_1d_a).getInfo())\n# [0, 1, 2]\n\n# A second 1D array image of the same length.\narray_img_1d_b = ee.Image([3, 4, 5]).toArray()\nprint('1D array image B (pixel):', samp_arr_img(array_img_1d_b).getInfo())\n# [3, 4, 5]\n\n# Calculate the dot product for the two 1D arrays.\ntest = array_img_1d_a.arrayDotProduct(array_img_1d_b)\nprint('A⋅B = 0(3) + 1(4) + 2(5) = ', samp_arr_img(test).getInfo())\n# 14\n```"]]