ee.Image.matrixSingularValueDecomposition
Calculates the Singular Value Decomposition of the input matrix into U×S×V', such that U and V are orthogonal and S is diagonal. Returns an image with bands named 'U', 'S' and 'V'.
| Usage | Returns |
|---|
Image.matrixSingularValueDecomposition() | Image |
| Argument | Type | Details |
|---|
this: image | Image | Image of 2-D matrices to be decomposed. |
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[[["This operation calculates the Singular Value Decomposition (SVD) of a 2-D matrix image, breaking it down into three components: U, S, and V'."],["The result is a new image containing bands named 'U', 'S', and 'V', representing the orthogonal matrices U and V, and the diagonal matrix S, respectively."],["SVD is a factorization method used in linear algebra to decompose a matrix into its constituent parts."]]],[]]