Überwachte Methoden für die spektrale Entmischung mit künstlichen neuronalen Netzen / / Johannes Anastasiadis.
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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Place / Publishing House: | Karlsruhe : : KIT Scientific Publishing,, 2023. |
Year of Publication: | 2023 |
Language: | German |
Series: | Karlsruher Institut für Technologi
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Physical Description: | 1 online resource (xii, 171 pages). |
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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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Bibliography: | Includes bibliographical references. |
Hierarchical level: | Monograph |
Statement of Responsibility: | Johannes Anastasiadis. |