From RGB to Spectrum for Natural Scenes via Manifold-Based Mapping

ICCV 2017 Yan JiaYinqiang ZhengLin GuArt Subpa-AsaAntony LamYoichi SatoImari Sato

Spectral analysis of natural scenes can provide much more detailed information about the scene than an ordinary RGB camera. The richer information provided by hyperspectral images has been beneficial to numerous applications, such as understanding natural environmental changes and classifying plants and soils in agriculture based on their spectral properties... (read more)

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