Bennu's global surface and two candidate sample sites characterized by spectral clustering of OSIRIS-REx multispectral images
J. L. Rizos, J. de Leon, J. Licandro, D. R. Golish, H. Campins, E., Tatsumi, M. Popescu, D. N. DellaGiustina, M. Pajola, J.-Y. Li, K. J. Becker,, and D. S. Lauretta

TL;DR
This study uses spectral clustering of multispectral images from OSIRIS-REx to characterize Bennu's surface and candidate sample sites, revealing surface homogeneity, spectral differences, and potential mineral signatures.
Contribution
The paper introduces an unsupervised spectral clustering approach to analyze Bennu's surface, providing detailed spectral characterization of sample sites and global surface properties.
Findings
Bennu's surface is well-mixed with four spectral clusters globally.
Nightingale and Osprey are spectrally redder than the average surface.
Hints of a 550 nm absorption band suggest magnetite presence.
Abstract
The OSIRIS-REx spacecraft encountered the asteroid (101955) Bennu on December 3, 2018, and has since acquired extensive data from the payload of scientific instruments on board. In 2019, the OSIRIS-REx team selected primary and backup sample collection sites, called Nightingale and Osprey, respectively. On October 20, 2020, OSIRIS-REx successfully collected material from Nightingale. In this work, we apply an unsupervised machine learning classification through the K-Means algorithm to spectrophotometrically characterize the surface of Bennu, and in particular Nightingale and Osprey. We first analyze a global mosaic of Bennu, from which we find four clusters scattered across the surface, reduced to three when we normalize the images at 550 nm. The three spectral clusters are associated with boulders and show significant differences in spectral slope and UV value. We do not see evidence…
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