Publication Details
Lossless Hyperspectral Image Compression in Comet Interceptor and Hera Missions with Restricted Bandwith
image compression, CCSDS 122.0, JPEG 2000, hyperspectral data, noise filtering,
comet, asteroid
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.
@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"
}