Poster presents preliminary results comparing hyperspectral, multispectral, and RGB imaging for mapping shallow-water habitats using machine learning.
A poster presenting preliminary results from a study on how imaging modalities (hyperspectral, multispectral, RGB) for UAV imaging perform when used in machine learning for shallow-water habitat mapping. An existing hyperspectral dataset is used to simulate multispectral and RGB images, using spectral response functions from two existing example cameras.
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Skjelvareid et al. (2026) studied this question.
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