Noise2Noise Denoising of CRISM Hyperspectral Data

arXiv:2403.17757v1 Announce Type: cross
Abstract: Hyperspectral data acquired by the Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) have allowed for unparalleled mapping of the surface mineralogy of Mars. Due to sensor degradation over time, a significant portion of the recently acquired data is considered unusable. Here a new data-driven model architecture, Noise2Noise4Mars (N2N4M), is introduced to remove noise from CRISM images. Our model is self-supervised and does not require zero-noise target data, making it well suited for use in Planetary …

abstract acquired architecture arxiv cs.cv cs.lg data data-driven denoising imaging mapping mars sensor surface type