You can compute cutlines by using any of the following methods:
- Minimum squared difference: Suitable for 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 when similar sections of data appear dissimilar among various images.
- Edge: Well suited for use with intense-urban-area imagery or imagery containing many linear features.
The benefit of using Edge is that it tends to avoid placing cutlines across linear features.
- Maximum data: Places the cutlines on the boundary of the real-image pixels, meaning that No Data pixels are ignored when determining the image boundary.
- Import: Use polygons in a vector file you specify.
The cutlines are computed exactly as per the vector file.
- File extents: Computes the cutlines as the extents of the input imagery.
NoData pixels are included in computing the cutlines.
To compute cutlines