How Effective are the PANCROMA Gap Filling Algorithms?
No gap filling technique is perfect, and the results are very dependent on the commonality between the source and target images, especially with respect to snow and cloud cover. However PANCROMA gap filling algorithms can produce remarkable corrections in many instances. Examples of typical gap filling results are shown in the images below. The first shows the target image with gaps. The second shows the image after gap fill correction. (These results are considered typical of the simple transfer method. You can often achieve much better matches by more careful image selection and using the computational method.)
Before and After Gap Filling
How Do I Register my Images before Gap Filling?
Landsat images must be co-registered prior to gap filling. PANCROMA offers a powerful set of subsetting and image registration utilities, including semi-automatic three band and fully automatic six band utilities. See a full set of Videos showing how it is done.
Can I Pan Sharpen My Image After Gap Filling?
Yes. See the See the Pan Sharpening Landsat Gap Filled Images Tutorial on the White Papers link at this site.
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