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...
में बचाया:
मुख्य लेखक: | |
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स्वरूप: | इलेक्ट्रोनिक पुस्तक अध्याय |
प्रकाशित: |
KIT Scientific Publishing
2023
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श्रृंखला: | Forschungsberichte aus der Industriellen Informationstechnik
29 |
विषय: | |
ऑनलाइन पहुंच: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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सारांश: | 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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भौतिक वर्णन: | 1 electronic resource (198 p.) |
आईएसबीएन: | KSP/1000159281 |
अभिगमन: | Open Access |