uberwachte-methoden-fur-die-spektrale-entmischung-mit-kunstlichen-neuronalen-netzen.pdf
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...
| Γλώσσα: | German |
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| Έκδοση: |
KIT Scientific Publishing
2023
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| Διαθέσιμο Online: | https://doi.org/10.5445/KSP/1000159281 |
| Περίληψη: | 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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