Improved Learning-Based Approach for Atmospheric Compensation of VNIR-SWIR Hyperspectral Data
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DOI: 10.1109/tgrs.2021.3099957
Abstract: In this work, the Learning-Based Approach to Atmospheric Compensation (LBAC) of hyperspectral data proposed by Acito et al. is extended. LBAC makes use of machine learning methods to directly estimate the spectral reflectance from the… read more here.
Keywords: approach atmospheric; based approach; hyperspectral data; atmospheric compensation ... See more keywords