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

Kamirul and Wahyudi Hasbi and A. Hadi Syafrudin (2020) Development of GPU-Accelerated Pre-processing Chain for LAPAN-A2 Multispectral Imagery. In: International Conference on Computer Science and Its Application in Agriculture, 16-17 September 2020.

[img]
Preview
Text
Materi Presentasi_Kamirul_ICOSICA2020.pdf

Download (630kB) | Preview

Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: imagery, GPU, LAPAN-A2, satellite,
Subjects: Teknologi Penginderaan Jauh > Pengelolaan dan Pengembangan > Citra Satelit
Divisions: Deputi Teknologi Penerbangan Dan Antariksa > Pusat Teknologi Satelit > Balai Kendali Satelit, Pengamatan Antariksa Dan Atmosfer, Dan Penginderaan Jauh Biak
Depositing User: Dinar Indrasasi
Date Deposited: 08 Apr 2021 00:59
Last Modified: 13 Apr 2021 04:10
URI: http://repositori.lapan.go.id/id/eprint/595

Actions (login required)

View Item View Item