Lossless Hyperspectral Image Compression in Comet Interceptor and Hera Missions with Restricted Bandwith

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Lossless Hyperspectral Image Compression in Comet Interceptor and Hera Missions with Restricted Bandwith

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Lossless Hyperspectral Image Compression in Comet Interceptor and Hera Missions with Restricted Bandwith

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Remote Sensing

ISSN

2072-4292

e-ISSN

—

Svazek periodika

17

Číslo periodika v rámci svazku

899

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

18

Strana od-do

1-18

Kód UT WoS článku

001442456200001

EID výsledku v databázi Scopus

2-s2.0-86000778097