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
Physical Description:1 online resource (xii, 171 pages).
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245 1 0 |a Überwachte Methoden für die spektrale Entmischung mit künstlichen neuronalen Netzen /  |c Johannes Anastasiadis. 
264 1 |a Karlsruhe :  |b KIT Scientific Publishing,  |c 2023. 
300 |a 1 online resource (xii, 171 pages). 
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490 0 |a Karlsruher Institut für Technologi 
588 |a Description based on publisher supplied metadata and other sources. 
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. 
504 |a Includes bibliographical references. 
505 0 |a Vorwort -- Symbotverzeichnis -- Einleitung -- Spektrale Enlmischung -- Kunstliche neuronale Netze -- Verwandte Aibeiten -- Faltungsnetz fur fie spektrale Entmischung -- Modellbasierte Trainingsdatenerzeugung -- aus Reinspektren -- Augmentierung spektraler Datensatze -- Umsetzung und Analyse -- Zusammenfassung und -- Ausblick -- Herleilung: Stochastische Mischmodelle -- Literaturverzeichnis. 
650 0 |a Neural networks (Computer science) 
776 |z 1000159281 
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