Detail publikace
Lossless Hyperspectral Image Compression in Comet Interceptor and Hera Missions with Restricted Bandwith
SKOG, K. KOHOUT, T. KAŠPÁREK, T. WOLFMAYR, M.
Originální název
Lossless Hyperspectral Image Compression in Comet Interceptor and Hera Missions with Restricted Bandwith
Typ
článek v časopise - ostatní, Jost
Jazyk
angličtina
Originální abstrakt
Lossless image compression is vital for missions with limited data transmission bandwidth. Reducing file sizes enables faster transmission and increased scientific gains from transient events. This study compared two image compression algorithms, CCSDS 122.0 and JPEG 2000, used in the European Space Agency Comet Interceptor and Hera missions respectively, in varying scenarios. The performance analysis for both algorithms consists of compressing simulated asteroid images in the visible and near-infrared spectral ranges. In addition, all test images were noise-filtered to study the effect of the amount of noise on both compression ratio and speed. The study found that JPEG 2000 achieved consistently higher compression ratios and benefited from decreased noise more than CCSDS 122.0. However, CCSDS 122.0 produced comparable results faster than JPEG 2000 and is substantially less computationally complex. These results not only support previous findings while contributing valuable knowledge to the behavioral characteristics of both algorithms but also provide insight for entities planning on using either algorithm for on-board of planetary missions.
Klíčová slova
image compression, CCSDS 122.0, JPEG 2000, hyperspectral data, noise filtering, comet, asteroid
Autoři
SKOG, K.; KOHOUT, T.; KAŠPÁREK, T.; WOLFMAYR, M.
Vydáno
4. 3. 2025
ISSN
2072-4292
Periodikum
Remote Sensing
Ročník
17
Číslo
899
Stát
Švýcarská konfederace
Strany od
1
Strany do
18
Strany počet
18
URL
BibTex
@article{BUT193376,
author="SKOG, K. and KOHOUT, T. and KAŠPÁREK, T. and WOLFMAYR, M.",
title="Lossless Hyperspectral Image Compression in Comet Interceptor and Hera Missions with Restricted Bandwith",
journal="Remote Sensing",
year="2025",
volume="17",
number="899",
pages="1--18",
doi="10.3390/rs17050899",
issn="2072-4292",
url="https://www.mdpi.com/2072-4292/17/5/899"
}