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A spectral weighting function for improving phytoplankton classification

Peter Gege

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Abstract

A spectral weighting function is presented which optimizes phytoplankton classification from hyperspectral data taking the signal-to-noise ratio of the current image into account. The improvements are illustrated using a DESIS image from Lake Constance.

© 2023 The Author(s)

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