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arXiv Machine Learning By Ardan Suphi, Ben Moseley, Gareth S Collins, Valentin T Bickel, Vidhya G Rangarajan

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

Read the original on arXiv Machine Learning →

HiPredict is a machine‑learning framework that reconstructs the failing RED4 spectral channel of the HiRISE instrument on the Mars Reconnaissance Orbiter using a U‑Net model trained on IR10, BG12, neighboring red‑channel data, and acquisition metadata. The model, trained on 81,717 samples and evaluated on 23,348 test samples, achieves a Normalised Mean Absolute Error of 1.1%, outperforming the existing synthetic red (SYN4) approach (3.1%). The reconstructed RED4 images enhance colour‑image recovery and better represent Martian surface features such as icy craters, ridge‑crest stratigraphy, and chloride deposits.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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