AI-generated Key Takeaways
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Assesses image registration quality between two input images with the same number of bands.
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Outputs a four-band image containing deltaX, deltaY, Euclidean distance, and the correlation coefficient for each pixel.
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Takes input parameters including the two images, maximum allowed pixel shift (maxGap), the comparison window size (windowSize), and an optional maximum fraction of masked pixels allowed (maxMaskedFrac).
| Usage | Returns |
|---|---|
ee.Algorithms.CrossCorrelation(imageA, imageB, maxGap, windowSize, maxMaskedFrac) | Image |
| Argument | Type | Details |
|---|---|---|
imageA | Image | First image, with N bands. |
imageB | Image | Second image, must have the same number of bands as imageA. |
maxGap | Integer | The greatest distance a pixel may shift in either X or Y. |
windowSize | Integer | Size of the window to be compared. |
maxMaskedFrac | Float, default: 0 | The maximum fraction of pixels within the correlation window that are allowed to be masked. This test is applied at each offset location within the search region. For each offset, the overlapping image patches are compared and a correlation score computed. A pixel within these overlapping patches is considered masked if either of the patches is masked there. If the test fails at any single location in the search region, the output pixel for which the correlation is being computed is considered invalid, and will be masked. |