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Reconfigurable architecture for real-time image compression on-board satellites

Manthey, Kristian and Krutz, David and Juurlink, Ben (2015) Reconfigurable architecture for real-time image compression on-board satellites. Journal of Applied Remote Sensing, 9 (1), 097497. Society of Photo-optical Instrumentation Engineers (SPIE). doi: 10.1117/1.JRS.9.097497. ISSN 1931-3195.

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1117/1.JRS.9.097497

Abstract

A high-speed image compression architecture with region-of-interest (ROI) support and with flexible access to compressed data based on the Consultative Committee for Space Data Systems 122.0-B-1 image data compression standard is presented. Modifications of the standard permit a change of compression parameters and the reorganization of the bit stream after compression. An additional index of the compressed data is created, which renders it possible to locate individual parts of the bit stream. On request, stored images can be reassembled according to the application’s needs and as requested by the ground station. Interactive transmission of the compressed data is possible such that overview images can be transmitted first followed by detailed information for the ROI. The architecture was implemented for a Xilinx Virtex-5QV and a single instance is able to compress images at a rate of 200  Mpx/s at a clock frequency of 100 MHz. The design ensures that all parts of the system have a high utilization and parallelism. A Virtex-5QV allows compression of images with a width of up to 4096 px without external memory. The power consumption of the architecture is ∼4  W. This example is one of the fastest implementations yet reported and sufficient for future high-resolution imaging systems.

Item URL in elib:https://elib.dlr.de/96879/
Document Type:Article
Title:Reconfigurable architecture for real-time image compression on-board satellites
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Manthey, KristianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Krutz, DavidUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Juurlink, BenUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2015
Journal or Publication Title:Journal of Applied Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:9
DOI:10.1117/1.JRS.9.097497
Page Range:097497
Publisher:Society of Photo-optical Instrumentation Engineers (SPIE)
ISSN:1931-3195
Status:Published
Keywords:remote sensing, image data compression, fpga, focal plane assembly, ccsds, Earth observation
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Optical Technologies and Applications
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Optical Sensor Systems > Optical Sensorics / Electronics
Deposited By: Manthey, Kristian
Deposited On:29 Jun 2015 06:31
Last Modified:11 Apr 2019 08:47

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