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.Ī number (interpreted as milliseconds since ), or string such as '' or '1996-001' or 'T08:00'. A pixel within these overlapping patches is considered masked if either of the patches is masked there. For each offset, the overlapping image patches are compared and a correlation score computed. This test is applied at each offset location within the search region. The maximum fraction of pixels within the correlation window that are allowed to be masked. The greatest distance a pixel may shift in either X or Y. Second image, must have the same number of bands as imageA. UsageĮe.Algorithms.CrossCorrelation(imageA, imageB, maxGap, windowSize, maxMaskedFrac) The fourth band is the value of the correlation coefficient for that pixel. The first three are distances: the deltaX, deltaY, and the Euclidean distance for each pixel in imageA to the pixel which has the highest corresponding correlation coefficient in imageB. This function outputs an image composed of four bands of information. The input is two images with the same number of bands. Gives information on the quality of image registration between two (theoretically) co-registered images. Returns a Collection containing the specified features. Sigma value for a gaussian filter applied before edge detection. The pixel is only considered for edge detection if the gradient magnitude is higher than this threshold. The image on which to apply edge detection. UsageĮe.Algorithms.CannyEdgeDetector(image, threshold, sigma) The output is an image whose bands have the same names as the input bands, and in which non-zero values indicate edges, and the magnitude of the value is the gradient magnitude. Applies the Canny edge detection algorithm to an image.

Error 1618 google earth pro