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: | Electronic Book Chapter |
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KIT Scientific Publishing
2023
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| Series: | Forschungsberichte aus der Industriellen Informationstechnik
29 |
| Subjects: | |
| Online Access: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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| 100 | 1 | |a Anastasiadis, Johannes |4 auth | |
| 245 | 1 | 0 | |a Überwachte Methoden für die spektrale Entmischung mit künstlichen neuronalen Netzen |
| 260 | |b KIT Scientific Publishing |c 2023 | ||
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| 490 | 1 | |a Forschungsberichte aus der Industriellen Informationstechnik |v 29 | |
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| 520 | |a 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-sa/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-sa/4.0/ | ||
| 546 | |a German | ||
| 650 | 7 | |a Electrical engineering |2 bicssc | |
| 653 | |a data generation; data augmentation; supervised training; artificial neural network; hyperspectral image; Datenerzeugung; Datenaugmentierung; überwachtes Training; Hyperspektralbild; künstliche neuronale Netze | ||
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| 856 | 4 | 0 | |a www.oapen.org |u https://library.oapen.org/handle/20.500.12657/75890 |7 0 |z OAPEN Library: description of the publication |