Sign inGet started
Paper · arXiv

HiPredict: Predicting the missing HiRISE RED4 spectral channel with machine learning

The High Resolution Imaging Science Experiment (HiRISE) onboard the Mars Reconnaissance Orbiter (MRO) acquires imagery of Mars at 25--30 cm/pixel, supporting studies of martian geology, climate history, and landing-site characterization. Its 14-detector focal plane assembly includes several overlapping detectors that enable the acquisition of three-channel colour-infrared images, which are important for identifying compositional variations and studying active surface processes. In 2023, a detector in the center of the focal plane assembly (RED4) began failing intermittently, creating a gap in acquired imagery and reducing the instrument's colour-imaging capability by half. The HiRISE proc...

AuthorsArdan Suphi, Ben Moseley, Gareth S Collins et al.
Primary categorycs.LG
Published16 October 2026
Last updated at source16 October 2026
cs.LG
Embed this entry
<iframe src="https://silytics.si/embed/item/bec6d6e3-bc37-4b00-b714-278bda4fb03b" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 5 days

0 now. Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 23 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.