undefined

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

Publiceringsår

2025

Upphovspersoner

Skog, Kasper; Kohout, Tomas; Kašpárek, Tomáš; Penttilä, Antti; Wolfmayr, Monika; Praks, Jaan

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 compares two wavelet-based 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 JPEG 2000 implementation is sourced from the JasPer library, whereas a custom implementation was written for CCSDS 122.0. 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 finds that JPEG 2000 achieves consistently higher compression ratios and benefits from decreased noise more than CCSDS 122.0. However, CCSDS 122.0 produces comparable results faster than JPEG 2000 and is substantially less computationally complex. On the contrary, JPEG 2000 allows dynamic (entropy-permitting) reduction in the bit depth of internal data structures to 8 bits, halving the memory allocation, while CCSDS 122.0 always works in 16-bit mode. These results contribute valuable knowledge to the behavioral characteristics of both algorithms and provide insight for entities planning on using either algorithm on board planetary missions.
Visa mer

Organisationer och upphovspersoner

Aalto-universitetet

Praks Jaan Orcid -palvelun logo

Skog Kasper

Kohout Tomas Orcid -palvelun logo

Helsingfors universitet

Penttilä Antti

Kohout Tomas

Jyväskylä universitet

Wolfmayr Monika Orcid -palvelun logo

Publikationstyp

Publikationsform

Artikel

Moderpublikationens typ

Tidning

Artikelstyp

En originalartikel

Målgrupp

Vetenskaplig

Kollegialt utvärderad

Kollegialt utvärderad

UKM:s publikationstyp

A1 Originalartikel i en vetenskaplig tidskrift

Publikationskanalens uppgifter

Journal/Serie

Remote sensing

Moderpublikationens namn

Remote Sensing

Förläggare

MDPI AG

Volym

17

Nummer

5

Artikelnummer

899

Publikationsforum

71359

Publikationsforumsnivå

0

Öppen tillgång

Öppen tillgänglighet i förläggarens tjänst

Ja

Öppen tillgång till publikationskanalen

Helt öppen publikationskanal

Parallellsparad

Ja

Övriga uppgifter

Vetenskapsområden

Statistik; Data- och informationsvetenskap; Fysik; Rymdvetenskap och astronomi; El-, automations- och telekommunikationsteknik, elektronik

Nyckelord

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Publiceringsland

Schweiz

Förlagets internationalitet

Internationell

Språk

engelska

Internationell sampublikation

Ja

Sampublikation med ett företag

Nej

DOI

10.3390/rs17050899

Publikationen ingår i undervisnings- och kulturministeriets datainsamling

Ja