University of Surrey

Test tubes in the lab Research in the ATI Dance Research

GPU Accelerated Multispectral EO Imagery Optimised CCSDS-123 Lossless Compression Implementation

Davidson, Rebecca and Bridges, Christopher (2017) GPU Accelerated Multispectral EO Imagery Optimised CCSDS-123 Lossless Compression Implementation In: 2017 IEEE Aerospace Conference, 2017-03-04 - 2017-03-11, Montana, USA.

[img]
Preview
Text
GPU_Accelerated_Multispectral_EO_Imagery_Optimised_CCSDS-123_Lossless_Compression_Implementation (1).pdf - Accepted version Manuscript
Available under License : See the attached licence file.

Download (591kB) | Preview
[img]
Preview
Text (licence)
SRI_deposit_agreement.pdf
Available under License : See the attached licence file.

Download (33kB) | Preview

Abstract

Continual advancements in Earth Observation (EO) optical imager payloads has led to a significant increase in the volume of multispectral data generated onboard EO satellites. As a result, a growing onboard data bottleneck need to be alleviated. One technique commonly used is onboard image compression. However, the performance of traditional space qualified processors, such as radiation hardened FPGAs, are not able to meet current nor future onboard data processing requirements. Therefore, a new high capability hardware architecture is required. In previous work a new GPU accelerated scalable heterogeneous hardware architecture for onboard data processing was proposed. In this paper, two new CUDA GPU implementations of the state-of-the-art lossless multidimensional image compression algorithm CCSDS-123, are discussed. The first implementation is a generic CUDA implementation of the CCSDS-123 algorithm whilst the second is optimised specifically for multispectral EO imagery. Both implementations utilise image tiling to leverage an additional axis for algorithm parallelisation to increase processing throughput. The CUDA implementation and optimisation techniques deployed are discussed in the paper. In addition, compression ratio and throughput performance results are presented for each implementation. Further experimental studies into the relationships between algorithm user definable compression parameters, tile sizes, tile dimensions and the achieved compression ratio and throughput, were performed.

Item Type: Conference or Workshop Item (Conference Paper)
Subjects : Surrey Space Centre
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Surrey Space Centre
Authors :
NameEmailORCID
Davidson, Rebeccarebecca.davidson@surrey.ac.ukUNSPECIFIED
Bridges, ChristopherC.P.Bridges@surrey.ac.ukUNSPECIFIED
Date : 8 June 2017
Identification Number : 10.1109/AERO.2017.7943817
Copyright Disclaimer : © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Contributors :
ContributionNameEmailORCID
UNSPECIFIEDIEEE, UNSPECIFIEDUNSPECIFIED
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 13 Jan 2017 15:24
Last Modified : 23 Aug 2017 15:23
URI: http://epubs.surrey.ac.uk/id/eprint/813287

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800