Development of GPU-Accelerated Pre-processing Chain for LAPAN-A2 Multispectral Imagery

This paper reported the development of a newly accelerated chain for pre-processing raw data acquired by LAPAN-A2 multispectral sensor. The acceleration schema was achieved by making full use of Graphics Processing Unit (GPU) to handle parallel processing in raw data encoding, image
demosaicing, and radiometric-geometric correction stages.
Based on the experiment conducted on NVIDIA GeForce GT
1030 GPU card, the developed chain was found capable of
resulting level-1 imagery accurately of up to 3.72 times faster
than that of similar implementation on Core-i7 8700 CPU. It was
also found that the GPU device boosted the demosaicing stage
more than 10 times faster. The result of this research
demonstrates the utility of the attached multiprocessors of GPU
to reduce the execution time of satellite imagery pre-processing.