Lossless Hyperspectral Image Compression in Comet Interceptor and Hera Missions with Restricted Bandwith
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F25%3APU154721" target="_blank" >RIV/00216305:26230/25:PU154721 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2072-4292/17/5/899" target="_blank" >https://www.mdpi.com/2072-4292/17/5/899</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/rs17050899" target="_blank" >10.3390/rs17050899</a>
Alternative languages
Result language
angličtina
Original language name
Lossless Hyperspectral Image Compression in Comet Interceptor and Hera Missions with Restricted Bandwith
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Remote Sensing
ISSN
2072-4292
e-ISSN
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Volume of the periodical
17
Issue of the periodical within the volume
899
Country of publishing house
CH - SWITZERLAND
Number of pages
18
Pages from-to
1-18
UT code for WoS article
001442456200001
EID of the result in the Scopus database
2-s2.0-86000778097