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

Year of publication

2025

Authors

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

Abstract

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.
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Organizations and authors

Aalto University

Praks Jaan Orcid -palvelun logo

Skog Kasper

Kohout Tomas Orcid -palvelun logo

University of Helsinki

Penttilä Antti

Kohout Tomas

University of Jyväskylä

Wolfmayr Monika Orcid -palvelun logo

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal/Series

Remote sensing

Parent publication name

Remote Sensing

Publisher

MDPI AG

Volume

17

Issue

5

Article number

899

​Publication forum

71359

​Publication forum level

0

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Fully open publication channel

Self-archived

Yes

Other information

Fields of science

Statistics and probability; Computer and information sciences; Physical sciences; Astronomy and space science; Electronic, automation and communications engineering, electronics

Keywords

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

Publication country

Switzerland

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

No

DOI

10.3390/rs17050899

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes