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Überwachte Methoden für die spektrale Entmischung mit künstlichen neuronalen Netzen
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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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Keywords
- artificial neural network
- data augmentation
- data generation
- Datenaugmentierung
- Datenerzeugung
- Electrical engineering
- Energy technology & engineering
- hyperspectral image
- Hyperspektralbild
- künstliche neuronale Netze
- supervised training
- Technology, engineering, agriculture
- überwachtes Training
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