By Andrey Yu. Sechin, Racurs. GIM International, #1, 2016.
The race between data production and processing capacity has been going on for many decades, with data production usually
on the winning team. This is also true for airborne and space-borne imagery, as the amount of images captured by
satellite sensors and aerial cameras is growing not only steadily but also rapidly.
How can the abundance of pixels
be processed into photogrammetric products quickly and effectively? The answer lies in parallel computing.
Today, computer clusters enable fast and affordable processing of photogrammetric tasks. Read on to learn how
parallelism speeds up the creation of seamless orthomosaics.