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title:(Unsupervised AND Spectral AND Unmixing AND For AND Telluric AND Correction AND Using AND A AND Neural AND Network AND Autoencoder)

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1 Conference paper

Unsupervised Spectral Unmixing For Telluric Correction Using A Neural Network Autoencoder

Kjærsgaard, Rune D.; Bello-Arufe, Aaron; Rathcke, Alexander D.; Buchhave, Lars A.; Clemmensen, Line K. H.

Proceedings of Fourth Workshop on Machine Learning and the Physical Sciences — 2021

The absorption of light by molecules in the atmosphere of Earth is a complication for ground-based observations of astrophysical objects. Comprehensive information on various molecular species is required to correct for this so called telluric absorption. We present a neural network autoencoder

Year: 2021

Language: English

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2 Preprint article

Unsupervised Spectral Unmixing For Telluric Correction Using A Neural Network Autoencoder

The absorption of light by molecules in the atmosphere of Earth is a complication for ground-based observations of astrophysical objects. Comprehensive information on various molecular species is required to correct for this so called telluric absorption. We present a neural network autoencoder

Year: 2021

Language: Undetermined

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