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Read&Share: Parallel Computing in Photogrammetry

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.

You can read the full article here.

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