Cutline-computation methods

Use the Compute Cutlines command to compute the cutlines for the selected input images using a method you select. Each method is described in the following table.

Name	Description
Minimum Squared Difference	Suitable for use with most mosaicking projects and, in most cases, produces the cleanest cutlines. A cutline is determined in each overlapped area between two adjacent images, with minimum squared differences of gray values at the same locations of the region in all image channels.
Minimum Difference	Suitable for most mosaicking projects. A cutline is determined in each overlapped area between two adjacent images, with minimum differences of gray values at the same locations of the region.
Minimum Relative Difference	Similar to Minimum Difference, but provides better output in cases where similar sections of data appear dissimilar in various images.
Edge Feature	Provides better output in urban-area mosaicking, or in images containing many linear features. The objective is to avoid placing cutlines across linear features.
Maximum Data	Places cutlines on the boundary of the real image pixels, meaning that NoData pixels will be ignored when the image boundary is determined.
File Extent	The cutline will be the extents of the input image or images and will not exclude NoData pixels during cutline generation.
Auto Constrain	Automatically constrain cutlines to the more central portions of the images. If there is a large amount of overlap between images, Auto Constrain can be useful in limiting the data being considered for cutline generation to areas closest to the center of the images. Note: Auto Constrain cannot be used with File Extent.