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Removing Stripe Noise Based on Improved Statistics for Hyperspectral Images

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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2020.3028443

Abstract: Stripe noise still affects full-spectrum airborne hyperspectral imager (FAHI) images after laboratory radiometric calibration, which seriously affects the subsequent applications of the imager. Therefore, two state-of-the-art methods, median linear correction (MLC) and Fourier transform filtering… read more here.

Keywords: noise; removing stripe; based improved; improved statistics ... See more keywords