Method for Processing High-Resolution Satellite Images, Based on Multi-GPU Programming

Christian Ovalle, Sandra Meza, Wilver Auccahuasi, Oscar Linares, Kitty Urbano, Gabriel Aiquipa, Yoni Nicolas-Rojas, Aly Auccahuasi, Tamara Pando-Ezcurra, Karin Rojas

2022

Abstract

Satellite images are being widely used today, due to the amount of information it represents, with greater emphasis on availability, we find many services where we can download images in their multiple formats and combinations, that is why we can mention that the Satellite images can be classified, by their resolution, use, amount of spectral bands, among others, but they have something in common, which is the size they occupy on the disk, we can find images that can weigh between 500 MB when it is made up of a single band and reduced coverage on the ground, up to 10GB images can weigh, containing more than 4 bands and with a greater coverage of the ground. To be able to work with these images, it is necessary to have workstations with great computational capacity, to be able to support this large volume of information, which is why in many cases clusters of workstations are used. In this work, a very practical mechanism will be presented for processing and working with these images, using GPU, in various configurations, such as a normal case that has a single GPU and in cases where it is counted With two GPUs, to test the methodology we work with different satellite images of different weights and they applied basic processes, processing times were measured in the CPU, in one GPU and in two GPUs, which were presented as results, we can indicate that the methodology can be scalable towards the processing of different images.

Paper Citation

in Harvard Style

Ovalle C., Meza S., Auccahuasi W., Linares O., Urbano K., Aiquipa G., Nicolas-Rojas Y., Auccahuasi A., Pando-Ezcurra T. and Rojas K. (2022). Method for Processing High-Resolution Satellite Images, Based on Multi-GPU Programming. In Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC; ISBN 978-989-758-622-4, SciTePress, pages 618-626. DOI: 10.5220/0011962900003612

in Bibtex Style

@conference{isaic22,
author={Christian Ovalle and Sandra Meza and Wilver Auccahuasi and Oscar Linares and Kitty Urbano and Gabriel Aiquipa and Yoni Nicolas-Rojas and Aly Auccahuasi and Tamara Pando-Ezcurra and Karin Rojas},
title={Method for Processing High-Resolution Satellite Images, Based on Multi-GPU Programming},
booktitle={Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC},
year={2022},
pages={618-626},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011962900003612},
isbn={978-989-758-622-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC
TI - Method for Processing High-Resolution Satellite Images, Based on Multi-GPU Programming
SN - 978-989-758-622-4
AU - Ovalle C.
AU - Meza S.
AU - Auccahuasi W.
AU - Linares O.
AU - Urbano K.
AU - Aiquipa G.
AU - Nicolas-Rojas Y.
AU - Auccahuasi A.
AU - Pando-Ezcurra T.
AU - Rojas K.
PY - 2022
SP - 618
EP - 626
DO - 10.5220/0011962900003612
PB - SciTePress