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ee.Image.entropy
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Computes the windowed entropy for each band using the specified kernel centered on each input pixel. Entropy is computed as -sum(p * log2(p)), where p is the normalized probability of occurrence of the values encountered in each window.
| Usage | Returns | Image.entropy(kernel) | Image |
| Argument | Type | Details | this: image | Image | The image for which to compute the entropy. |
kernel | Kernel | A kernel specifying the window in which to compute. |
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[[["\u003cp\u003eCalculates the entropy for each band of an image within a defined window around each pixel.\u003c/p\u003e\n"],["\u003cp\u003eEntropy is a measure of randomness or information content, calculated using a specific formula based on pixel value probabilities.\u003c/p\u003e\n"],["\u003cp\u003eA kernel determines the size and shape of the window used for entropy calculation, impacting the output image.\u003c/p\u003e\n"],["\u003cp\u003eThe result is a new image where each pixel represents the entropy of the corresponding window in the original image.\u003c/p\u003e\n"]]],[],null,["# ee.Image.entropy\n\nComputes the windowed entropy for each band using the specified kernel centered on each input pixel. Entropy is computed as -sum(p \\* log2(p)), where p is the normalized probability of occurrence of the values encountered in each window.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|-------------------------|---------|\n| Image.entropy`(kernel)` | Image |\n\n| Argument | Type | Details |\n|---------------|--------|-----------------------------------------------------|\n| this: `image` | Image | The image for which to compute the entropy. |\n| `kernel` | Kernel | A kernel specifying the window in which to compute. |"]]