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Takes as input an elevation band, azimuth and zenith of the light source in degrees, a neighborhood size, and whether or not to apply hysteresis when a shadow appears.Currently, this algorithm only works for Mercator projections, in which light rays are parallel. For every input band, outputs a band where lines are detected by thresholding the Hough transform with a value of line Threshold. If greater than 0, k Means will be run independently on cells of this size.
Computes a simple cloud-likelihood score in the range [0,100] using a combination of brightness, temperature, and NDSI.Otherwise polygons use the left-inside rule, where interiors are on the left side of the shell's edges when walking the vertices in the given order.Creates a shadow band, with output 1 where pixels are illumunated and 0 where they are shadowed.The output band is named [input]_lines, where [input] is the name of the original band. Iteratively applies k-means followed by a normality test to automatically determine the number of clusters to use. This has the effect of limiting the size of any cluster to be grid Size or smaller.The defaults provided for the parameters are intended as a starting point for use with UINT8 images. The output contains a 'clusters' band containing the integer ID of the cluster that each pixel belongs to. This option is mutually exclusive with neighborhood Size. Outputs a 1-band image containing the ID of the cluster that each pixel belongs to.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.
Any input pixels with partial masks are fully masked in the output. Any input pixels with partial masks are fully masked in the output. If greater than 0, k Means will be run independently on cells of this size.
This algorithm is only expected to perform well for images with a narrow dynamic range (i.e. This has the effect of limiting the size of any cluster to be grid Size or smaller.
Outputs a band of cluster IDs and the per-cluster averages for each of the input bands.
If the 'seeds' image isn't provided as input, the output will include a 'seeds' band containing the generated seed locations.
The default is the geodesic state of the inputs, or true if the inputs are numbers. If true, edges are curved to follow the shortest path on the surface of the Earth.