Überwachte Methoden für die spektrale Entmischung mit künstlichen neuronalen Netzen
In this work, artificial neural networks trained in a supervised manner for spectral unmixing are investigated. For this purpose, a suitable network architecture is determined first. After that, the focus lies on the generation of suitable training data. Model-based methods that generate training da...
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| Format: | eBook |
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KIT Scientific Publishing
2023
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| Series: | Forschungsberichte aus der Industriellen Informationstechnik
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| Collection: | Directory of Open Access Books - Collection details see MPG.ReNa |
| Summary: | In this work, artificial neural networks trained in a supervised manner for spectral unmixing are investigated. For this purpose, a suitable network architecture is determined first. After that, the focus lies on the generation of suitable training data. Model-based methods that generate training data from real pure spectra and data-based methods that augment existing training data are presented and evaluated. |
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| Item Description: | Creative Commons (cc), https://creativecommons.org/licenses/by-sa/4.0/ |
| Physical Description: | 1 electronic resource (198 p.) |
| ISBN: | 1000159281 |